Tables from the 5Th Sudan Population and Housing Census, 2008

Southern Sudan Counts: Tables from the 5th Sudan Population and Housing Census, 2008

November 19, 2010

CENSU OR S,S F TA RE T T IS N T E IC C S

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S S C C S E Southern Sudan Counts: Tables from the 5th Sudan Population and Housing Census, 2008

November 19, 2010 ii Contents

List of Tables ...... iv Acronyms ...... x Foreword ...... xiv Acknowledgements ...... xv Background and Mandate of the Southern Sudan Centre for Census, Statistics and Evaluation (SSCCSE) ...... 1 Introduction ...... 1 History of Census-taking in Southern Sudan...... 2 Questionnaire Content, Sampling and Methodology ...... 2 Implementation ...... 2 Challenges ...... 4 Key Indicators ...... 4 Deﬁnitions ...... 6 1. Population ...... 9 2. Migration ...... 61 3. Orphanhood and Disability ...... 65 4. Education ...... 71 5. Economic Activity ...... 79 6. Marriage ...... 91 7. Births ...... 95 8. Housing ...... 99 9. Cultivation ...... 109 10. Deaths ...... 113 Appendix A: Notes ...... 116 Appendix B: Long Form Questionnaire (LFQ) ...... 117

iii List of Tables

Table 1-1: Southern Sudan Population Distribution by State, Place of Residence and Sex ...... 9 Table 1-2: Urban/rural population distribution by state. Percentage of population ...... 9 Table 1-3: Southern Sudan Population Distribution by Age group, Place of Residence and Sex 10 Table 1-4: Southern Sudan Population Distribution by Age group, Place of Residence and Sex 10 Table 1-5: Southern Sudan Adult Age Population Distribution by States ...... 11 Table 1-6: Age Dependency Ratio by State ...... 11 Table 1-7: Southern Sudan Population Distribution by Nationality and Sex ...... 11 Table 1-8: Population Distribution by Region of Origin and State of Enumeration ...... 12 Table 1-9: Household Size by Background Characteristics. Percent and Mean ...... 12 Table 1-10: Area and Population Density by County: Upper Nile State ...... 13 Table 1-11: Area and Population Density by County: Jonglei State ...... 13 Table 1-12: Area and Population Density by County: Unity State ...... 13 Table 1-13: Area and Population Density by County: Warrap State ...... 13 Table 1-14: Area and Population Density by County: Northern Bahr El Ghazal State ...... 14 Table 1-15: Area and Population Density by County: Western Bahr El Ghazal State ...... 14 Table 1-16: Area and Population Density by County: Lakes State ...... 14 Table 1-17: Area and Population Density by County: Western Equatoria State ...... 14 Table 1-18: Area and Population Density by County: Central Equatoria State ...... 14 Table 1-19: Area and Population Density by County: Eastern Equatoria State ...... 15 Table 1-20: County and Payam Population for Upper Nile State by Sex and Number of Households ...... 15 Table 1-21: County and Payam Population for Jonglei State by Sex and Number of households 17 Table 1-22: County and Payam Population for Unity State by Sex and Number of households .. 19 Table 1-23: County and Payam Population for Warrap State by Sex and Number of households 21 Table 1-24: County and Payam Population for Northern Bahr El Ghazal State by Sex and Number of households ...... 22 Table 1-25: County and Payam Population for Western Bahr El Ghazal State by Sex and Number of households ...... 23 Table 1-26: County and Payam Population for Lakes State by Sex and Number of households . 24 Table 1-27: County and Payam Population for Western Equatoria State by Sex and Number of households ...... 25

iv Table 1-28: County and Payam Population for Central Equatoria State by Sex and Number of households ...... 27 Table 1-29: County and Payam Population for Eastern Equatoria State by Sex and Number of households ...... 28 Table 1-30: Upper Nile Five Year Age Groups by Sex ...... 30 Table 1-31: Five Year Age Groups by Sex: Renk County, Upper Nile State ...... 30 Table 1-32: Five Year Age Groups by Sex. Manyo County, Upper Nile State ...... 30 Table 1-33: Five Year Age Groups by Sex. Fashoda County, Upper Nile State ...... 31 Table 1-34: Five Year Age Groups by Sex. Melut County, Upper Nile State ...... 31 Table 1-35: Five Year Age Groups by Sex. Maban County, Upper Nile State ...... 31 Table 1-36: Five Year Age Groups by Sex. Maiwut County, Upper Nile State ...... 32 Table 1-37: Five Year Age Groups by Sex. Luakping/Nasir County, Upper Nile State ...... 32 Table 1-38: Five Year Age Groups by Sex. Longochuk County, Upper Nile State ...... 32 Table 1-39: Five Year Age Groups by Sex. Ulang County, Upper Nile State ...... 33 Table 1-40: Five Year Age Groups by Sex. Baliet County, Upper Nile State ...... 33 Table 1-41: Five Year Age Groups by Sex. Malakal County, Upper Nile State ...... 33 Table 1-42: Five Year Age Groups by Sex. Panyikang County, Upper Nile State ...... 34 Table 1-43: Five Year Age Groups by Sex. Jonglei State ...... 34 Table 1-44: Five Year Age Groups by Sex. Fangak County, Jonglei State ...... 35 Table 1-45: Five Year Age Groups by Sex. Khorﬂus County, Jonglei State ...... 35 Table 1-46: Five Year Age Groups by Sex. Ayod County, Jonglei State ...... 35 Table 1-47: Five Year Age Groups by Sex. Duk County, Jonglei State ...... 36 Table 1-48: Five Year Age Groups by Sex. Uror County, Jonglei State ...... 36 Table 1-49: Five Year Age Groups by Sex. Nyirol County, Jonglei State ...... 36 Table 1-50: Five Year Age Groups by Sex. Akobo County, Jonglei State ...... 37 Table 1-51: Five Year Age Groups by Sex. Pochalla County, Jonglei State ...... 37 Table 1-52: Five Year Age Groups by Sex. Pibor County, Jonglei State ...... 37 Table 1-53: Five Year Age Groups by Sex. Twic East County, Jonglei State ...... 38 Table 1-54: Five Year Age Groups by Sex. Bor South County, Jonglei State ...... 38 Table 1-55: Five Year Age Groups by Sex. Unity State ...... 38 Table 1-56: Five Year Age Groups by Sex. Pariang County, Unity State ...... 39 Table 1-57: Five Year Age Groups by Sex. Abiemnhom County, Unity State ...... 39 Table 1-58: Five Year Age Groups by Sex. Mayom County, Unity State ...... 39 Table 1-59: Five Year Age Groups by Sex. Rubkone County, Unity State ...... 40 Table 1-60: Five Year Age Groups by Sex. Guit County, Unity State ...... 40 Table 1-61: Five Year Age Groups by Sex. Koch County, Unity State ...... 40 Table 1-62: Five Year Age Groups by Sex. Leer County, Unity State ...... 41 Table 1-63: Five Year Age Groups by Sex. Mayendit County, Unity State ...... 41 Table 1-64: Five Year Age Groups by Sex. Panyijiar County, Unity State ...... 41

v Table 1-65: Five Year Age Groups by Sex. Warrap State ...... 42 Table 1-66: Five Year Age Groups by Sex. Abyei County, Warrap State ...... 42 Table 1-67: Five Year Age Groups by Sex. Twic County, Warrap State ...... 42 Table 1-68: Five Year Age Groups by Sex. Gogrial West County, Warrap State ...... 43 Table 1-69: Five Year Age Groups by Sex. Gogrial East County, Warrap State ...... 43 Table 1-70: Five Year Age Groups by Sex. Tonj North County, Warrap State ...... 43 Table 1-71: Five Year Age Groups by Sex. Tonj East County, Warrap State ...... 44 Table 1-72: Five Year Age Groups by Sex. Tonj South County, Warrap State ...... 44 Table 1-73: Five Year Age Groups by Sex. Northern Bahr El Ghazal State ...... 44 Table 1-74: Five Year Age Groups by Sex. Aweil North County, Northern Bahr El Ghazal State . 45 Table 1-75: Five Year Age Groups by Sex. Aweil East County, Northern Bahr El Ghazal State ... 45 Table 1-76: Five Year Age Groups by Sex. Aweil South County, Northern Bahr El Ghazal State . 45 Table 1-77: Five Year Age Groups by Sex. Aweil West County, Northern Bahr El Ghazal State .. 46 Table 1-78: Five Year Age Groups by Sex. Aweil Centre County, Northern Bahr El Ghazal State 46 Table 1-79: Five Year Age Groups by Sex. Western Bahr El Ghazal State ...... 46 Table 1-80: Five Year Age Groups by Sex. Raga County, Western Bahr El Ghazal State ...... 47 Table 1-81: Five Year Age Groups by Sex. Jur River County, Western Bahr El Ghazal State ...... 47 Table 1-82: Five Year Age Groups by Sex. Wau County, Western Bahr El Ghazal State ...... 47 Table 1-83: Five Year Age Groups by Sex. Lakes State ...... 48 Table 1-84: Five Year Age Groups by Sex. Cueibet County, Lakes State ...... 48 Table 1-85: Five Year Age Groups by Sex. Rumbek North County, Lakes State ...... 48 Table 1-86: Five Year Age Groups by Sex. Rumbek Centre County, Lakes State ...... 49 Table 1-87: Five Year Age Groups by Sex. Wulu County, Lakes State ...... 49 Table 1-88: Five Year Age Groups by Sex. Rumbek East County, Lakes State...... 49 Table 1-89: Five Year Age Groups by Sex. Yirol West County, Lakes State ...... 50 Table 1-90: Five Year Age Groups by Sex. Yirol East County, Lakes State ...... 50 Table 1-91: Five Year Age Groups by Sex. Awerial County, Lakes State ...... 50 Table 1-92: Five Year Age Groups by Sex. Western Equatoria State ...... 51 Table 1-93: Five Year Age Groups by Sex. Tambura County, Western Equatoria State ...... 51 Table 1-94: Five Year Age Groups by Sex. Nagero County, Western Equatoria State ...... 51 Table 1-95: Five Year Age Groups by Sex. Nzara County, Western Equatoria State ...... 52 Table 1-96: Five Year Age Groups by Sex. Ezo County, Western Equatoria State ...... 52 Table 1-97: Five Year Age Groups by Sex. Yambio County, Western Equatoria State ...... 52 Table 1-98: Five Year Age Groups by Sex. Ibba County, Western Equatoria State ...... 53 Table 1-99: Five Year Age Groups by Sex. Maridi County, Western Equatoria State ...... 53 Table 1-100: Five Year Age Groups by Sex. Mvolo County, Western Equatoria State ...... 53 Table 1-101: Five Year Age Groups by Sex. Mundri West County, Western Equatoria State ...... 54 Table 1-102: Five Year Age Groups by Sex. Mundri East County, Western Equatoria State ...... 54 Table 1-103: Five Year Age Groups by Sex. Central Equatoria State ...... 55

vi Table 1-104: Five Year Age Groups by Sex. Terekeka County, Central Equatoria State ...... 55 Table 1-105: Five Year Age Groups by Sex. Juba County, Central Equatoria State ...... 55 Table 1-106: Five Year Age Groups by Sex. Lainya County, Central Equatoria State ...... 56 Table 1-107: Five Year Age Groups by Sex. Yei County, Central Equatoria State ...... 56 Table 1-108: Five Year Age Groups by Sex. Morobo County, Central Equatoria State ...... 56 Table 1-109: Five Year Age Groups by Sex. Kajo-Keji County, Central Equatoria State ...... 57 Table 1-110: Five Year Age Groups by Sex. Eastern Equatoria State ...... 57 Table 1-111: Five Year Age Groups by Sex. Torit County, Eastern Equatoria State ...... 57 Table 1-112: Five Year Age Groups by Sex. Lafon County, Eastern Equatoria State ...... 58 Table 1-113: Five Year Age Groups by Sex. Kapoeta North County, Eastern Equatoria State ...... 58 Table 1-114: Five Year Age Groups by Sex. Kapoeta East County, Eastern Equatoria State ...... 58 Table 1-115: Five Year Age Groups by Sex. Kapoeta South County, Eastern Equatoria State ...... 59 Table 1-116: Five Year Age Groups by Sex. Budi County, Eastern Equatoria State ...... 59 Table 1-117: Five Year Age Groups by Sex. Ikotos County, Eastern Equatoria State ...... 59 Table 1-118: Five Year Age Groups by Sex. Magwi County, Eastern Equatoria State ...... 60 Table 2-1: Place of birth by background characteristics. Percentage of population...... 61 Table 2-2: Duration of residence by background characteristics. Percentage of population...... 61 Table 2-3: Place moved from by background characteristics. Percentage of those who moved in past 12 months...... 62 Table 3-1: Orphanhood by background characteristics. Percentage of population 0-14 years. . 65 Table 3-2 Education and literacy status of orphans by background characteristics. Population aged 6-14 years...... 66 Table 3-3: Prevalence of disability by background characteristics. Percentage of population. .. 66 Table 3-4: Literacy rate by disability according to background characteristics. Population aged 6 and above...... 67 Table 3-5: School attendance by disability according to background characteristics. Population aged 6 and above...... 68 Table 3-6: Economic Activity by disability according to background characteristics. Population aged 10 years and above...... 69 Table 3-7: Kind of disability by background characteristics. Percentage of disabled population. 70 Table 4-1: Literacy rates by background characteristics. Percentage of population aged 6 and above...... 71 Table 4-2: Gross attendance ratio by background characteristics. Percentage of school age population...... 72 Table 4-3: Net attendance ratio by background characteristics. Percentage of school age population ...... 72 Table 4-4: School attendance by background characteristics. Percentage of population aged 6 and above...... 73 Table 4-5: School attendance by background characteristics. Percentage of population aged 15 and above ...... 73 Table 4-6: Educational attainment by background characteristics. Percentage of population aged 6 and above...... 74

vii Table 4-7: Educational attainment by background characteristics. Percentage of population aged 15 and above...... 75 Table 4-8: Educational attainment by background characteristics. Percentage of population age 6 and above who have ever attended school...... 75 Table 4-9: Education attainment by background characteristics. Percentage of population age 15 and above who have ever attended school ...... 76 Table 5-1: Labour force participation rate by background characteristics. Population aged 10 and above and population aged 15 and above...... 79 Table 5-2: Unemployment rate by background characteristics. Population aged 10 and above and population aged 15 and above...... 80 Table 5-3: Main occupational type by background characteristics. Percentage of population aged 10 and above who worked previously...... 81 Table 5-4: Main occupational type by background characteristics. Percentage of population aged 15 and above who worked previously...... 82 Table 5-5: Industry aggregates by background characteristics. Percentage of population aged 10 and above in work or who worked previously...... 84 Table 5-6: Industry aggregates by background characteristics. Percentage of population aged 15 and above who worked previously...... 85 Table 5-7: Employment status by background characteristics. Percentage of population aged 10 and above who worked previously. Percent...... 87 Table 5-8: Employment status by background characteristics. Percentage of population aged 15 and above who worked previously...... 87 Table 5-9: Main reason for not seeking work by background characteristics. Percentage of people aged 10 and above who did not work and did not seek work in previous 7 days...... 88 Table 5-10: Main reason for not seeking working by background characteristics. Percentage of people aged 15 and above who did not work and did not seek work in previous 7 days...... 89 Table 6-1 Marital status by age for Southern Sudan. Percentage of population aged 12 and above...... 91 Table 6-2 Marital status by age and sex for Southern Sudan. Percentage of population aged 12 and above...... 91 Table 6-3 Marital status by age and place of residence. Population aged 12 and above. Within age group percent...... 92 Table 6-4 Age at ﬁrst marriage by background characteristics. Percent of population ever married ...... 92 Table 7-1: Women of reproductive age (12-54) by number of children ever born...... 95 Table 7-2: Women of reproductive age (12-54) by number of male children ever born...... 95 Table 7-3: Women of reproductive age (12-54) by number of female children ever born...... 96 Table 7-4: Women of reproductive age (12-54) by number of children born in the twelve months before the census...... 96 Table 7-5: Women of reproductive age (12-54) by number of male children born in the twelve months before the census...... 96 Table 7-6: Women of reproductive age (12-54) by number of female children born in the twelve months before the census...... 97

viii Table 7-7: Women of reproductive age (12-54) by number of deaths of children born in the twelve months before the census ...... 97 Table 7-8: Women of reproductive age (12-54) by number of deaths of male children born in the twelve months before the census ...... 97 Table 7-9: Women of reproductive age (12-54) by number of deaths of female children born in the twelve months before the census ...... 98 Table 8-1: Type of dwelling by background characteristics. Percentage of households...... 99 Table 8-2: Number of rooms used for sleeping by background characteristics. Percentage of households...... 100 Table 8-3: Number of persons per room used for sleeping by background characteristics. Percentage of households...... 100 Table 8-4: Housing tenure status by background characteristics. Percentage of households. .. 101 Table 8-5: Main source of drinking water by background characteristics. Percentage of households...... 102 Table 8-6: Main source of lighting by background characteristics. Percentage of households. . 103 Table 8-7: Main source of energy for cooking by background characteristics. Percentage of households...... 104 Table 8-8: Main type of toilet facility by background characteristics. Percentage of households with...... 105 Table 8-9: Main source of livelihood by background characteristics. Percentage of households ...... 106 Table 8-10: Ownership of selected transport items by background characteristics. Percentage of households...... 107 Table 8-11: Ownership of selected consumer items by background characteristics. Percentage of households...... 108 Table 9-1 Households engaging in agricultural or husbandry activities by background characteristics. Percentage of households...... 109 Table 9-2 Tenure status of land used for cultivation by background characteristics. Percentage of households engaged in cultivation...... 110 Table 9-3 Crop type by background characteristics. Percentage of households engaged in cultivation...... 111 Table 9-4 Livestock holdings and animal type by background characteristics. Percentage of households with animal type and average holdings of those households with each animal...... 112 Table 10-1 Reported deaths in the twelve months before the census by age group. Number. .. 113 Table 10-2 Reported deaths in the twelve months before the census by age group. Percentage of deaths...... 113 Table 10-3 Reported deaths caused by accident or act of violence in the twelve months before the census by age group. Number...... 114 Table 10-4 Reported deaths caused by accident or act of violence in the twelve months before the census by age group. Percentage of deaths...... 114 Table 10-5 Reported deaths of women aged 12-54 during pregnancy or delivery in the twelve months before the census by age group. Number...... 115 Table 10-6: Reported deaths of women aged 12-54 during pregnancy or delivery in the twelve months before the census by age group. Percentage of deaths...... 115

ix Acronyms

CAMV Computer assisted manual veriﬁcation CBS Central Bureau of Statistics CEDEJ Centre d’Etudes et de Documentation Economiques CPA Comprehensive Peace Agreement CSPro Census and Survey Processing System DFID Department for International Development EA Enumeration area EU European Union GIS Geographic Information System GONU Government of National Unity GOS Government of Sudan GOSS Government of Southern Sudan GPS Global positioning system IDP Internally displaced person LFQ Long form questionnaire MDTF Multi-Donor Trust Fund MOC Monitoring and Observation Committee NBHS National Baseline Household Survey NGO Non-governmental organization OMR Optical Mark Recognition PCC Population Census Council SFQ Short form questionnaire SHHS Sudan Household Health Survey SPHC Sudan Population and Housing Census SPLM/A South People’s Liberation Movement/Army SRRA/C Sudan Relief and Rehabilitation Association SSCCSE Southern Sudan Centre for Census, Statistics and Evaluation TWG Technical Working Group UNFPA United Nations Population Fund UNMIS United Nations Mission in Sudan

x UNOPS United Nations Ofﬁce for Project Services USAID United States Agency for International Development USCB United States Census Bureau USDA United States Department of Agriculture

xi xii xiii Foreword

I am pleased to be able to present Southern Sudan Counts: Tables from the 5th Sudan Population and Housing Census, 2008, a publication of the Southern Sudan Centre for Census, Statistics and Evaluation (SSCCSE). The 5th Sudan Population and Housing Census carried out in 2008 was the largest statistical exercise ever carried out in Southern Sudan by Southerners, and its execution was one of the benchmarks provided under the Comprehensive Peace Agreement. The Census provides us not only with detailed information on population counts but on a variety of other indicators including education, livelihood, housing characteristics, and births and deaths, which are vital for evidence-based developmental policy. This is the first time that detailed tables on all sections of the 2008 Census appear together in a single publication. This report is complementary to other publications of the SSCCSE. Like the 2008 Popula- tion and Housing Census Atlas for Southern Sudan, the tables in this report are generated from the data collected during the 5th Sudan Population and Housing Census. The objective of this report is to provide a systematic and detailed description of all the data collected during the Census. I trust that in this regard, the information presented here will be informative to many actors for planning and research purposes, including GoSS Line Ministries, State governments, Development Partners and others of interest. The 5th Sudan Population and Housing Census, 2008 would not have been possible without financial and technical support from the international community. Generous funding was provided by the Multi- Donor Trust Fund (MDTF), USAID, DFID and many others right from planning to data processing and dissemination. I would also like to thank all users of statistics in Southern Sudan, who engage with us continuously and form the core audience of this publication. The content and format of this report is a direct response to requests from these users. I hope you find this publication informative. As always, we welcome any comments or suggestions aimed at improving the quality of our work.

Isaiah Chol Aruai Chairperson, SSCCSE

xiv Acknowledgements

While funding the 5th Sudan Population and Housing Census was largely the responsibility of the Government of National Unity (GONU) with a contribution from the Government of Southern Sudan (GOSS), generous support was received from the international community, and in particular the Multi- Donor Trust Fund (MDTF). Other important funding was provided by USAID, DFID, DANIDA, the Euro- pean Union, French Cooperation and the Netherlands. SSCCSE also gratefully acknowledges the technical support provided by a large number of international actors. Under the terms of the CPA, UNFPA was charged with co-ordination of census activities between the Central Bureau of Statistics (CBS) in the North and SSCCSE in the South, and with managing the distribution of MDTF funds. Invaluable technical assistance was received from other UN bodies, including UNMIS, which assisted in distribution and retrieval of enumeration material and UNOPS, active in construction and procurement. US agencies were also important partners: the United States Census Bureau (USCB) and USDA were actively involved in planning the census, and the USAID/ Deloitte Sudan Core Institutions project was vital at the data processing stage. Other critical technical assistance was received from CEDEJ, French Cooperation and Statistics Norway.

xv xvi Background and Mandate of the Southern place in 2009. The final milestone is the referen- Sudan Centre for Census, Statistics and dum, scheduled to take place in 2011, in which Evaluation (SSCCSE) Southern Sudan will vote on whether to remain part of a united Sudan or become independent. The Southern Sudan Centre for Census, Statistics and Evaluation (SSCCSE) is the official statistical There were two principal reasons for conducting agency of the Government of Southern Sudan and the 2008 Census. The first was to determine pow- is mandated to collect, analyse and disseminate er sharing in the Government of National Unity all official economic, social and demographic sta- (Article 1.8.9 of the CPA). The second was for tistics. Its origins lie in the Database and Moni- planning purposes: in a country damaged by more toring Unit of the Sudan Relief and Rehabilitation than twenty years of civil war, it is vital for priority- Association (SRRA), which dates back to 1995. setting in development policy to assess the loca- In 2004, the SRRA Database and Monitoring tion and extent of deprivation. In line with these Unit was officially transformed into the New Su- two objectives, as well as gathering information dan Centre for Statistics and Evaluation (NSCSE) on the geographical distribution of the Sudanese and, after the signing of the Comprehensive Peace population, the 2008 Census included data on Agreement (CPA) in 2005, it became SSCCSE. other key indicators on education, livelihoods, Under the provisions of the CPA and the Interim housing and household characteristics and births Constitution of Southern Sudan, SSCCSE was as- and deaths. Because of controversy surrounding signed responsibility for conducting the Southern population counts in the states of Northern Su- Sudan section of the 5th Sudan Population and dan, the results were not used as the basis for Housing Census in 2008. While the 2008 Census power-sharing. They are nonetheless being used remains the largest undertaking by the SSCCSE, in development planning in Southern Sudan, and it has carried out other large high-profile surveys, will be vital in this regard in the coming years. most notably the 2006 and 2010 rounds of the The objective of this report is to present the data Sudan Household Health Survey (SHHS), which collected during the 5th Sudan Population and generated health indicators such as child malnu- Housing Census in a thorough and systematic trition and mortality, and the National Baseline way. The 2008 Census consisted of two parts: a Household Survey (NBHS), 2009, which gener- short form questionnaire (SFQ), administered to ated poverty estimates based on consumption pat- everyone in the population, and a long form ques- terns. tionnaire (LFQ), administered to a sample of the Introduction population. The short form questionnaire contains ten questions on sex, age, place of residence, na- The 5th Sudan Population and Housing Census tionality, duration of residence and place of birth. (SPHC 2008) was carried out in April-May 2008. The long form questionnaire contains information After more than two decades of civil war, the Gov- on births and deaths, as well as modules on edu- ernment of Sudan and the Sudan People’s Libera- cation, economic activity and housing characteris- tion Movement (SPLM) signed the Comprehensive tics. This report contains detailed tables produced Peace Agreement (CPA) in January 2005. The using data collected from both sources. While CPA specified three milestones on the road to priority tables using data from the census were peace. The first of these milestones was the Cen- released in 2009, this is the first time that tables sus, scheduled for 2007 but conducted in 2008. from all the modules of the census will be pub- The second was the national elections, which took lished together.

1 History of Census-taking in Southern Sudan question on ethnicity and another on religion: the office of the Presidency removed these in March Before independence from British rule in 1956, 2007 and replaced them with a question on re- estimates of Sudan’s population were generated gion of origin. for taxation purposes, but no comprehensive census was ever carried out. Since independence, The pre-enumeration sampling plan, agreed by the there have been five censuses, in 1955-56, 1973, TWG at Port Sudan in 2005, was to administer 1983, 1993 and 2008. In 1956, the enumerated the short form questionnaire (SFQ) to households population of what is now Southern Sudan was in 90 percent of enumeration areas and the long 2.76 million. Questions on tribal affiliation were form questionnaire (LFQ) to households in 10 per- asked, but dropped from later censuses to avoid cent of enumeration areas. Private households, in- controversy. The 1973 census was postponed six ternally displaced persons and refugees within this years from its planned date of 1966 due to war 10% of EAs were all supposed to receive the LFQ. between the North and South and the published The sampling frame for the 10 percent sample results were revised several times due to under- was generated using pre-enumeration mapping. counting. The total for Southern Sudan, adjusted EAs were stratified according to whether they were upwards from the original count, was 2.95 million. urban/rural, and then by geographic code (state, In 1983, the enumerated population of Southern county, payam, boma, EA) within each stratum. Sudan was 5.54 million. The 1993 Census oc- EAs were selected with equal probability from this curred during the second civil war between North ordered frame, with post-enumeration weights to and South Sudan. As a result, enumeration in the capture differences in population between the dif- South occurred only in the three urban areas of ferent EAs. Juba, Wau and Malakal and the population of Actual sampling did not strictly follow the pre-enu- Southern Sudan was grossly under-counted as a meration plan: only in 65% of the EAs originally result. The 5th Sudan Population and Housing designated LFQ EAs were any long form question- Census in 2008 was the first census conducted naires administered. While this may have intro- as a joint exercise between North and South. The duced a bias into which households were admin- enumerated population of Southern Sudan was istered the LFQ, post-enumeration GIS mapping 8.26 million, almost double the figure from 1993. found no obvious gaps in geographical or demo- All censuses in Sudan have been affected by simi- graphic coverage. Technical assistance from USDA lar challenges, principally insecurity and the dif- was required to re-work the population weights ficulties of reaching people in remote areas. While for LFQ households based on the realized sample. the 2008 census still faced these challenges, in- The cleaned and edited long-form Census dataset security was much reduced compared with 1993, contains 91,449 households, and 542,765 indi- and sophisticated GIS mapping and the use of viduals. The realized LFQ sample is therefore 6.5 helicopters to reach remote villages allowed for a percent of total households enumerated in South- much more precise estimate of the population of ern Sudan. The sample includes private house- Southern Sudan than ever before. holds, internally displaced persons, nomads and Questionnaire Content, Sampling and refugees, but excludes cattle camps, institutional Methodology households, homeless people and overnight travelers. The weighted sample is representative of a A technical working group (TWG) convened in total of 1.28 million households and 7.65 million Port Sudan in 2005 determined the majority of the individuals, which is 92.5 percent of the popula- content of the census questionnaires. The short tion of Southern Sudan form questionnaire (SFQ) is designed to provide data on population by basic demographic charac- Implementation teristics at national level and down to the level of Implementation of the 5th Sudan Population and the lowest administrative districts. It contains 10 Housing Census in Southern Sudan occurred in questions on age, sex, nationality, place of birth three main stages: pre-enumeration, enumeration and state of usual residence. In addition to these and post-enumeration. Planning the census was a 10 questions, the long form questionnaire (LFQ) joint effort between North and South, with budget, includes more detailed modules on housing, mi- work plan and questionnaire content decided by gration, education, labour force participation, fer- bodies containing representatives from the North tility, mortality, agriculture and animal husbandry. and South, as well as external experts. Initially, the census questionnaire was to contain a

2 1. Pre-enumeration (January 2005-22 April enumerators in March-April 2008. Census mate- 2008) rials were packed in a temporary warehouse in Juba, and distributed throughout Southern Sudan Pre-enumeration in Southern Sudan involved three beginning 5 March 2008. Actual enumeration broad tasks. The first was to develop the institu- was postponed from the planned date of 15-30 tional capacity of the South to conduct a census. November 2007, because of problems of procur- The second was to map out all enumeration areas ing and distributing census materials. in Southern Sudan.. The third was to plan in detail the enumeration and post-enumeration phases of Enumeration started on 22 April 2007 and con- the census. tinued for two weeks. Security measures were taken to protect enumerators, including the deploy- Building the institutional capacity of the South ment of security personnel alongside enumerators involved physical capital accumulation and train- in the states of Southern Sudan. Members of the ing. High priorities were the purchase of vehicles, Monitoring and Observation Committee (MOC) computers, GPS devices and satellite phones and were deployed to monitor enumeration. Census the construction of a building at Rumbek to house material retrieval was jeopardized in some states data processing activities. Intensive training activi- by early rains: UNMIS assisted with retrieval of ties were conducted for all levels of SSCCSE staff questionnaires from inaccessible regions of Jon- from 2005 onwards. glei, Upper Nile and Warrap. All census material Enumeration area mapping in advance of the had arrived in Rumbek for data capture and pro- census was conducted using the ‘quick count’ cessing by July 29, 2008. method: enumerators made a tally count of num- 3. Post-enumeration (6 May 2008-ongoing) ber of households in villages and collected GPS co-ordinates for key facilities. Prior estimates of This phase of the census can be divided as fol- the population of Southern Sudan were not pre- lows: data capture from the questionnaires, key cise enough to make a ‘traditional listing’ in which correction and editing of the data, and lastly tabu- all households are individually listed in advance of lation and dissemination. the census, feasible. As well as being essential for Data capture was carried out by scanning indi- enumeration to take place, mapping of enumera- vidual questionnaires and using optical mark tion areas allowed for more precise planning of the recognition (OMR) software to convert the image enumeration period. files into ASCII data file. Verification was carried Several bodies were involved in planning the out using computer assisted manual verification Census, including the Population Census Council (CAMV): priorities were ‘GIS correction’, correct- (PCC) with overall executive control, a Technical ing faulty geo-codes so that every questionnaire Work Group (TWG), and a Financial Committee corresponded to a geographical location and ‘key (FC) charged with disbursing funds. With a bud- correction’, ensuring that the key variables of sex, get and work plan in place, a pilot census took age and relationship to head of household were place from 15-30 April 2007 covering all ten present for every respondent, using visual checks states of Southern Sudan and 1000 households of 29,235 problem questionnaires and imputa- in total. After the pilot census, the Census budget tion where information was missing or incorrectly for Southern Sudan was revised upwards to reflect filled in. Further editing was carried out to ensure greater than expected transport times and costs. consistency in skip patterns (so, for example, a respondent who had never been to school did not 2. Enumeration (22 April 2008-6 May 2008) have an entry for educational qualifications). The enumeration phase involved four tasks: firstly, Priority tables, tabulating population by state the recruitment and training of field staff, secondly, and county and by age and sex were produced the deployment of enumerators and census mate- in 2009. These have been in use since for de- rial, thirdly the administering of the questionnaires marcation of boundaries during the 2009 elec- to all households and fourthly the retrieval of cen- tions and for planning purposes at the GOSS and sus materials to the point of data processing. state levels. A full SFQ and LFQ tabulation plan 14,252 temporary field staff were recruited to work was drafted by CBS and SSCCSE jointly during on the Census. Training followed the ‘cascade’ ap- 2009. The SSCCSE developed this plan further, proach: principal trainers were trained in Juba in and produced the census tabulation that appears February 2008. These trainers then trained state here during October 2010. Staff members from and county level supervisors, who trained the SSCCSE are currently working together with Har-

3 vard University to produce a Census monograph, • Communications: Despite the purchase of with detailed analysis of Census data. satellite phones, communication between HQ and workers in the field was limited. Challenges This resulted in delays, inadequate supervi- Some particular challenges to the Census effort in sion, and the failure to distribute long form Southern Sudan are outlined below: questionnaires according to the sampling • Early rains: In the states of Eastern Equa- plan. toria, Jonglei, Unity and Warrap early rains Key Indicators rendered some areas inaccessible, and re- This section provides a brief overview of key indi- sulted in the death of one enumerator. cators from the census tables. Where the figures • Insecurity: Insecurity disrupted enumera- correspond with a Millennium Development Goal tion in Warrap (Abyei), Lakes State and Indicators, this is given in brackets. Upper Nile, and resulted in damage to and Population theft of questionnaires. Additionally, movement of persons due to fighting made some • Total population of Southern Sudan is communities difficult to locate. Most infor- 8,260,490, of which 4,287,300 are male mation from damaged questionnaires was and 3,973,190 are female manually transcribed and was thus retained • Southern Sudan is 17% urban and 83% ru- in the final census figures. ral • Transport: Despite the deployment of 115 • The most populous state is Jonglei, with motor vehicles, 75 boats, motorcycles and 1,358,602 people and 16% of the total bicycles to the field by SSCCSE, transport population. The least populous is Western was inadequate for effective supervision of Bahr El Ghazal, with 333,431 and 4% of all enumerators, especially in areas with the total population poor road infrastructure. • 32% of the population is under 10, 51% is • Mapping: Field mapping in Lakes, Central under 18 and 72% is under 30 Equatoria, and Western Equatoria was completed more than a year before enumera- • The average number of members in a pri- tion. During enumeration, it was discovered vate household in Southern Sudan is 7 that a significant number of new villages Migration had appeared, which did not appear in the EA maps. • 4% of the total population were born outside Southern Sudan. The states with the • Shortage of questionnaires: Initial esti- highest percentage of people born outside mates suggested that 75% of the question- Southern Sudan are Central Equatoria and naires distributed in Southern Sudan should Western Bahr El Ghazal, with 7% and 6% be in English and 25% in Arabic, but during respectively born outside Southern Sudan pre-enumeration it became clear that more English questionnaires would be required. Orphanhood and Disability This became an issue of contention with the • 2% of children aged below 14 are orphans, North, and was only partly resolved by an but in Unity this figure is 5% exchange of surplus Arabic questionnaires • 27% of orphans (children with both parents from the South with surplus English ques- dead) aged 10-14 are currently attending tionnaires from the North. school compared with 31% of children aged • Boundary and border disputes: In Central 10-14 whose parents are both alive. The ra- Equatoria, Eastern Equatoria, Western Equa- tio of attendance of orphans to non-orphans toria and Jonglei disputes between commu- is 0.86 (MDG indicator number 20) nities over administrative boundaries led Education to some households refusing enumeration. This was usually resolved once it was made • Literacy rate for the population aged 6 and clear that census boundaries would not be above is 29%. In urban areas, literacy rate used for administrative purposes. of people aged 6 and above is 51%, com-

4 pared with 24% in rural areas. The state Marriage with the highest literacy rate for people aged • The average age at first marriage for males 6 and above is Central Equatoria at 58% is 23 years old and for females is 19 years and the lowest is Warrap at 13% old. • Literacy rate for males aged 15-24 is 44%, Housing compared with 30% for females. The ratio of literacy rates of females aged 15-24 to • The percentage of households in Southern males aged 15-24 is 0.67 (MDG indicator Sudan with access to an improved drinking number 10) source (filtering station, mechanical borehole or hand pump) is 48%; the percent- • Net attendance ratio of children aged 6-13 age of the population in these households is in primary school is 31% (related to MDG 50% (MDG indicator 30). indicator number 6); for males it is 33% and for females 29%. Net attendance ratio • The percentage of households in Southern in primary education is highest in Central Sudan using solid fuels is 98%; the percent- Equatoria at 64% and lowest in Warrap at age of the population in these households is 11%. 99% (MDG indicator 29) • The ratio of girls to boys is 0.78 in primary • The percentage of households with sustain- education, 0.48 in secondary education able access to improved sanitation (pit la- and 0.46 in tertiary education (MDG indi- trine or flush toilet) is 24% and the percent- cator number 9). age of the population in these households is 24% (MDG indicator 31) • 71% of the population of Southern Sudan aged 6 and above has never been to school. • The percentage of households for which the 65% of males have never been to school main source of livelihood is subsistence ag- and 77% of females. riculture is 74%. This is highest in Western Equatoria (90%) and lowest in Upper Nile • 91% of the population have no qualifica- (57%) tions, 5% have some primary qualification and 4% have secondary or higher qualifica- • The percentage of households owning either tions a mobile phone or fixed phone is 9%: 23% in urban areas and 4% in rural areas. Economic Activity Cultivation • Labour force participation rate for the population of Southern Sudan aged 15 and • 81% of households in Southern Sudan are above is 74%: 77% for males and 72% for engaged in cultivation. In Warrap, 90% of females households are engaged in cultivation where as in Western Bahr El Ghazal, the fraction is • Unemployment rate for the population aged 63%. 15 and above is 12%: 11% for males and 13% for females • 74% of households own livestock. In War- rap, this is 87% where as in Western Bahr • 63% of those aged 15 and above who are El Ghazal this is only 44% working or who worked previously were employed in agriculture, animal husbandry Tables or fishery. For those who have attained sec- The source of the tables in section 1 is the SFQ. ondary school qualifications or higher, the Tables 2-1 and 2-2 are taken from the SFQ and percentage employed in agriculture drops to table 2-3 is taken from the LFQ. The tables in 24%, with another 24% employed in public the remaining 8 sections are from the LFQ. Where administration. possible, tables appear in the order of questions in • 13% of those aged 15 and above who are the Census questionnaire for ease of use. In each working or who worked previously were table, outcome of interest (e.g. literacy rate, source paid employees, 37% were own account of livelihood) is tabulated against a standard set of workers and 42% were unpaid family work- background characteristics, described below. ers.

5 Background characteristics Dependency ratio (old): Number of people aged 65 and above expressed as a percentage of adult The standard background characteristics in the population (15-64) tables are as follows: urban/rural area, sex, age group, educational attainment, sex of household Dependency ratio (overall): Number of children head, educational attainment of household head, and people aged 65 and above expressed as a occupational status of household head and state percentage of adult population (15-64) of enumeration. Since there is no information on Gross attendance ratio (primary): Number of income or consumption in the Census data, head people attending primary school expressed as a of household variables proxy for the socioeconom- percentage of the total number of children aged ic status of the household 6-13 Educational attainment categories are as follows: Gross attendance ratio (secondary): Number of never attended school, no qualifications, primary, people attending secondary school expressed as secondary or higher. In the ‘no qualifications’ cat- a percentage of the total number of children aged egory are those who are currently attending school 14-16 and have not completed primary qualifications or who have previously attended school but attained Improved water source: Drinking water supply no qualifications. Also in this category are those from filtering station, mechanical borehole or hand with the ‘khalwa’ qualification. In the ‘primary’ pump category are those who are currently attending or Infant mortality rate: Number of deaths of chil- who have previously attended school and whose dren under the age of 1 per 1000 live births. highest level of attainment is Primary 4, 6, or 8 Calculated by dividing the number of deaths of or Junior 3 or 4. In the ‘secondary or higher’ cat- individuals aged less than 1 by the number of live egory are those whose highest level of attainment births reported in the 12 months preceding the is Secondary 3, 4, 5, or 6, post secondary diplo- census. ma, university first degree, postgraduate diploma, masters degree, or Ph.D degree. Labour force participation rate for population aged 10 and above (15 and above): Percent- In the economic activity section, educational at- age of total population aged 10 or above (15 and tainment is split into the following categories: nev- above) who are in work, have a job to go back to er attended, currently attending, no qualifications, or are seeking work primary and secondary or higher. Here, all those who are currently attending school, whatever their Literacy rate: Percentage of population that can attainment level are grouped into ‘currently attend- read and write a simple sentence in any lan- ing’. The categories ‘no qualifications’, ‘primary’ guage and ‘secondary or higher’ only include those who Net attendance ratio (primary): Number of chil- have previously attended school. dren aged 6-13 attending primary school ex- Definitions pressed as a percentage of the total number of children aged 6-13 Age specific fertility rate: The mean number of children born in a single year to a woman in a Net attendance ratio (secondary): Number of particular age category. Calculated by dividing re- children aged 14-16 attending secondary school ported births in the last twelve months by number expressed as a percentage of the total number of of women in the relevant age category. Here AS- children aged 14-16 FRs were calculated for women aged 12-14, 15- Orphan: Child under 14 whose parents are both 19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49 dead and 50-54. Total fertility rate: The mean number of children Crude birth rate: Number of live births in year pre- that would be born to each woman in her repro- ceding the census per thousand people enumer- ductive lifetime if she were certain to live from age ated. 12-54 and if she were to experience the current Dependency ratio (child): Number of children un- age specific fertility rates at each stage of her re- der 15 in the population expressed as a percent- productive lifetime. Calculated by summing the age of adult population (15-64) age-specific birth rates for the following age categories.

6 Under-5 mortality rate: Number of deaths of children under the age of 5 per 1000 live births. Cal- culated by dividing the number of deaths of individuals aged less than 5 by the number of live births reported in the 12 months preceding the census. Unemployment rate: Percentage of those active in the labour force who are not in work and do not have a job to go back to but are actively seeking work

7 8 1. Population

Table 1-1: Southern Sudan Population Distribution by State, Place of Residence and Sex

Urban/rural State Urban Rural Total Male Female Total Male Female Total Male Female Total Southern 754,086 651,100 1,405,186 3,533,214 3,322,090 6,855,304 4,287,300 3,973,190 8,260,490 Sudan Upper Nile 130,164 113,812 243,976 395,266 325,111 720,377 525,430 438,923 964,353 Jonglei 69,636 59,705 129,341 664,691 564,570 1,229,261 734,327 624,275 1,358,602 Unity 63,677 57,113 120,790 236,570 228,441 465,011 300,247 285,554 585,801 Warrap 45,055 39,832 84,887 425,679 462,362 888,041 470,734 502,194 972,928 Northern Bahr El 30,134 25,264 55,398 318,156 347,344 665,500 348,290 372,608 720,898 Ghazal W estern Bahr El 75,597 67,348 142,945 101,443 89,043 190,486 177,040 156,391 333,431 Ghazal Lakes 35,248 29,785 65,033 330,632 300,065 630,697 365,880 329,850 695,730 Western 51,425 48,609 100,034 267,018 251,977 518,995 318,443 300,586 619,029 Equatoria Central 210,731 171,631 382,362 370,991 350,204 721,195 581,722 521,835 1,103,557 Equatoria Eastern 42,419 38,001 80,420 422,768 402,973 825,741 465,187 440,974 906,161 Equatoria

Source: 5th Sudan Population and Housing Census, 2008

Table 1-2: Urban/rural population distribution by state. Percentage of population

Total State Urban Rural Total Southern Sudan 17.0 83.0 100 Upper Nile 25.3 74.7 100 Jonglei 9.5 90.5 100 Unity 20.6 79.4 100 Warrap 8.7 91.3 100 Northern Bahr El Ghazal 7.7 92.3 100 Western Bahr El Ghazal 42.9 57.1 100 Lakes 9.3 90.7 100 Western Equatoria 16.2 83.8 100 Central Equatoria 34.6 65.4 100 Eastern Equatoria 8.9 91.1 100 Source: 5th Sudan Population and Housing Census, 2008

9 Table 1-3: Southern Sudan Population Distribution by Age group, Place of Residence and Sex Urban/rural Age group Urban Rural Total Male Female Total Male Female Total Male Female Total Total 754,086 651,100 1,405,186 3,533,214 3,322,090 6,855,304 4,287,300 3,973,190 8,260,490 0-4 114,126 104,150 218,276 575,301 510,554 1,085,855 689,427 614,704 1,304,131 5-9 101,760 94,376 196,136 586,625 515,055 1,101,680 688,385 609,431 1,297,816

10-14 84,981 75,073 160,054 484,556 412,780 897,336 569,537 487,853 1,057,390

15-19 81,602 72,081 153,683 381,300 354,846 736,146 462,902 426,927 889,829

20-24 78,336 69,901 148,237 282,452 308,317 590,769 360,788 378,218 739,006

25-29 76,445 65,178 141,623 258,953 297,435 556,388 335,398 362,613 698,011 30-34 56,705 44,892 101,597 201,826 233,492 435,318 258,531 278,384 536,915 35-39 49,346 38,498 87,844 189,639 198,330 387,969 238,985 236,828 475,813 40-44 33,444 25,201 58,645 140,049 141,010 281,059 173,493 166,211 339,704 45-49 26,316 19,289 45,605 123,625 106,870 230,495 149,941 126,159 276,100 50-54 17,548 14,322 31,870 87,264 78,131 165,395 104,812 92,453 197,265 55-59 10,557 7,963 18,520 57,288 45,987 103,275 67,845 53,950 121,795 60-64 8,849 7,674 16,523 55,387 43,721 99,108 64,236 51,395 115,631 65+ 14,071 12,502 26,573 108,949 75,562 184,511 123,020 88,064 211,084 Source: 5th Sudan Population and Housing Census, 2008

Table 1-4: Southern Sudan Population Distribution by Age group, Place of Residence and Sex Urban/rural Age group Urban Rural Total Male Female Total Male Female Total Male Female Total Total 100 100 100 100 100 100 100 100 100 0-4 15.1 16.0 15.5 16.3 15.4 15.8 16.1 15.5 15.8 5-9 13.5 14.5 14.0 16.6 15.5 16.1 16.1 15.3 15.7 10-14 11.3 11.5 11.4 13.7 12.4 13.1 13.3 12.3 12.8 15-19 10.8 11.1 10.9 10.8 10.7 10.7 10.8 10.7 10.8 20-24 10.4 10.7 10.5 8.0 9.3 8.6 8.4 9.5 8.9 25-29 10.1 10.0 10.1 7.3 9.0 8.1 7.8 9.1 8.4 30-34 7.5 6.9 7.2 5.7 7.0 6.4 6.0 7.0 6.5 35-39 6.5 5.9 6.3 5.4 6.0 5.7 5.6 6.0 5.8 40-44 4.4 3.9 4.2 4.0 4.2 4.1 4.0 4.2 4.1 45-49 3.5 3.0 3.2 3.5 3.2 3.4 3.5 3.2 3.3 50-54 2.3 2.2 2.3 2.5 2.4 2.4 2.4 2.3 2.4 55-59 1.4 1.2 1.3 1.6 1.4 1.5 1.6 1.4 1.5 60-64 1.2 1.2 1.2 1.6 1.3 1.4 1.5 1.3 1.4 65+ 1.9 1.9 1.9 3.1 2.3 2.7 2.9 2.2 2.6 Source: 5th Sudan Population and Housing Census, 2008

10 Table 1-5: Southern Sudan Adult Age Population Distribution by States Adult Age State Below 18 years 18 years and above Total Southern Sudan 4,187,874 4,072,616 8,260,490 State Upper Nile 493,436 470,917 964,353 Jonglei 690,478 668,124 1,358,602 Unity 320,478 265,323 585,801 Warrap 509,861 463,067 972,928 Northern Bahr El Ghazal 382,216 338,682 720,898 Western Bahr El Ghazal 160,658 172,773 333,431 Lakes 344,745 350,985 695,730 Western Equatoria 278,031 340,998 619,029 Central Equatoria 537,067 566,490 1,103,557 Eastern Equatoria 470,904 435,257 906,161 Source: 5th Sudan Population and Housing Census, 2008

Table 1-6: Age Dependency Ratio by State Age Dependency Ratio Background Characteristics Child Dependency Old Dependency Overall Dependency Ratio Ratio(0-14) Ratio(65+) Urban/Rural Southern Sudan 83 5 88 Urban 71 3 75 Rural 86 5 91 State Upper Nile 84 5 89 Jonglei 83 5 88 Unity 100 6 106 Warrap 91 5 96 Northern Bahr El Ghazal 98 7 105 Western Bahr El Ghazal 77 4 81 Lakes 81 4 85 Western Equatoria 66 5 71 Central Equatoria 75 3 78 Eastern Equatoria 83 4 87 Source: 5th Sudan Population and Housing Census, 2008

Table 1-7: Southern Sudan Population Distribution by Nationality and Sex Sex Nationality Male Female Total Nationality Total 4,287,300 3,973,190 8,260,490 Sudanese 4,258,440 3,962,932 8,221,372 Egyptian 1,904 1,441 3,345 Libyan 61 41 102 Eritrean 454 117 571 Ethiopian 935 504 1,439 Ugandan 10,050 3,750 13,800 Kenyan 4,411 979 5,390 Congolese - DRC 1,722 1,160 2,882 Chadian 125 114 239 Central African 1,379 1,243 2,622 Nigerian 279 172 451 Malian 26 21 47 Chinese 1,716 45 1,761 Indian 1,761 104 1,865 Other Countries 4,037 567 4,604 Source: 5th Sudan Population and Housing Census, 2008

11 21 100 100 100 100 100 100 100 100 100 100 100 100 116 145 472 777 435 100 Total 1,045 5,346 2,697 25,553 869,554 906,161 Eastern Equatoria Eastern 2.4 5.6 6.5 8.5 4.2 1.8 2.8 4.5 4.0 5.5 3.3 4.4 15+ 10.3 149 1,252 2,093 1,181 6,538 2,113 2,122 38,684 35,679 16,946 996,800 1,103,557 Central Equatoria 4.1 9.2 9.1 8.4 9.5 5.1 6.6 6.9 3.7 7.1 5.4 6.6 12.3 10-14 92 26 223 165 576 247 655 2,790 6,480 3,636 604,139 619,029 7-9 Western Equatoria Western 44.0 40.6 35.7 52.5 35.8 35.1 38.3 51.7 61.2 54.1 46.7 45.0 46.4 39 80 96 30 174 206 658 3,606 3,851 1,677 685,313 695,730 Lakes 33 4-6 215 528 900 40.8 36.4 35.2 26.0 38.9 47.6 43.6 31.6 27.7 28.8 37.1 26.0 35.3 1,012 1,816 3,293 6,041 2,165 Number of Household Members 11,374 306,054 333,431 8.6 8.1 4.6 8.8 5.2 3.4 4.4 7.4 6.4 7.3 2-3 13.2 11.4 10.3 Western Bahr El Ghazal El Bahr Western Sex 48 250 122 459 126 618 605 3,356 1,551 2,543 711,220 720,898 1 0.0 0.1 0.2 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 Northern Bahr El Ghazal 46 7 8 7 8 7 6 7 8 8 8 7 9 7 233 134 329 113 676 1,018 1,037 1,537 1,510 966,295 972,928 Warrap 24 894 239 543 959 1,713 6,407 2,912 5,841 4,062 562,207 585,801 Unity 37 Average Household Size Average 134 204 111 179 375 570 2,816 2,282 2,277 1,349,617 1,358,602 Jonglei 72 Table 1-8: Population Distribution by Region of Origin and State of Enumeration of State and Origin of Region by Distribution Population 1-8: Table 3,353 2,798 1,523 8,345 7,086 3,606 16,890 10,651 11,310 898,719 964,353 Upper Nile 486 Table 1-9: Household Size by Background Characteristics. Percent and Mean 1-9: Household Size by Background Characteristics. Percent Table 7,375 7,153 5,080 27,681 24,228 34,429 35,244 2,887,557 2,733,389 2,497,868 8,260,490 Southern Sudan Eastern Equatoria Central Equatoria Western Equatoria Western Lakes Western Bahr El Ghazal Western Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Rural Urban Southern Sudan Background Characteristics Total Northern Eastern Khartoum Central Kordofan Darfur Upper Nile Bahr El Ghazal Equatoria Not Sudan No Response Nationality State Urban/Rural Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Note: This table pertains only to private households and excludes cattle camps, institutional households, homeless people, IDPs, overnight travelers and refugees. and travelers overnight IDPs, people, homeless households, institutional camps, cattle excludes and households private to only pertains table This Note: Region Region of Origin Source: 5th Sudan Population and Housing Census, 2008 Source: 5th Sudan Population

12 Table 1-10: Area and Population Density (Person/sq km) by County: Upper Nile State County Population Area (sq km) Density Upper Nile State 964,353 77,283 12 Renk 137,751 10,031 14 Manyo 38,010 6,684 6 Fashoda 36,518 3,546 10 Melut 49,242 6,951 7 Maban 45,238 11,855 4 Maiwut 79,462 3,789 21 Luakpiny/Nasir 210,002 5,148 41 Longochuk 63,166 6,972 9 Ulang 85,044 4,773 18 Baliet 48,010 11,690 4 Malakal 126,483 738 171 Panyikang 45,427 5,108 9 Source: 5th Sudan Population and Housing Census, 2008

Table 1-11: Area and Population Density (Person/sq km) by County: Jonglei State County Population Area (sq km) Density Jonglei State 1,358,602 122,581 11 Fangak 110,130 7,604 14 Khorﬂus 99,068 4,398 23 Ayod 139,282 13,464 10 Duk 65,588 6,911 9 Uror 178,519 12,142 15 Nyirol 108,674 7,137 15 Akobo 136,210 9,057 15 Pochalla 66,201 8,381 8 Pibor 148,475 33,273 4 Twic East 85,349 6,099 14 Bor South 221,106 14,115 16 Source: 5th Sudan Population and Housing Census, 2008

Table 1-12: Area and Population Density (Person/sq km) by County: Unity State County Population Area (sq km) Density Unity State 585,801 37,837 15 Pariang 82,443 9,016 9 Abiemnhom 17,012 2,381 7 Mayom 120,715 4,971 24 Rubkona 100,236 3,597 28 Guit 33,004 3,432 10 Koch 74,863 4,398 17 Leer 53,022 1,613 33 Mayendit 53,783 3,067 18 Panyijar 50,723 5,363 9 Source: 5th Sudan Population and Housing Census, 2008

Table 1-13: Area and Population Density (Person/sq km) by County: Warrap State County Population Area (sq km) Density Warrap 972,928 45,567 21 Abyei 52,883 10,547 5 Twic 204,905 3,923 52 Gogrial West 243,921 4,754 51 Gogrial East 103,283 3,891 27 Tonj North 165,222 11,012 15 Tonj East 116,122 3,991 29 Tonj South 86,592 7,450 12 Source: 5th Sudan Population and Housing Census, 2008

13 Table 1-14: Area and Population Density (Person/sq km) by County: Northern Bahr El Ghazal State County Population Area (sq km) Density Northern Bahr El Ghazal 720,898 30,543 24 Aweil North 129,127 6,377 20 Aweil East 309,921 6,172 50 Aweil South 73,806 1,787 41 Aweil West 166,217 5,030 33 Aweil Centre 41,827 11,177 4 Source: 5th Sudan Population and Housing Census, 2008

Table 1-15: Area and Population Density (Person/sq km) by County: Western Bahr El Ghazal State County Population Area (sq km) Density Western Bahr El Ghazal State 333,431 91,076 4 Raga 54,340 61,792 1 Jur River 127,771 10,032 13 Wau 151,320 19,251 8 Source: 5th Sudan Population and Housing Census, 2008

Table 1-16: Area and Population Density (Person/sq km) by County: Lakes State County Population Area (sq km) Density Lakes State 695,730 43,595 16 Cueibet 117,755 4,824 24 Rumbek North 43,410 4,531 10 Rumbek Centre 153,550 3,867 40 Wulu 40,550 11,701 3 Rumbek East 122,832 3,588 34 Yirol West 103,190 5,025 21 Yirol East 67,402 5,401 12 Awerial 47,041 4,659 10 Source: 5th Sudan Population and Housing Census, 2008

Table 1-17: Area and Population Density (Person/sq km) by County: Western Equatoria State County Population Area (sq km) Density Western Equatoria State 619,029 79,343 8 Tambura 55,365 12,591 4 Nagero 10,077 9,268 1 Nzara 65,712 6,466 10 Ezo 80,861 8,055 10 Yambio 152,257 8,847 17 Ibba 41,869 9,822 4 Maridi 82,461 7,768 11 Mvolo 48,134 5,610 9 Mundri West 33,975 5,838 6 Mundri East 48,318 5,078 10 Source: 5th Sudan Population and Housing Census, 2008

Table 1-18: Area and Population Density (Person/sq km) by County: Central Equatoria State County Population Area (sq km) Density Central Equatoria State 1,103,557 43,033 26 Terekeka 144,373 10,538 14 Juba 368,436 18,396 20 Lainya 89,315 3,446 26 Yei 201,443 6,668 30 Morobo 103,603 1,348 77 Kajo-Keji 196,387 2,636 74 Source: 5th Sudan Population and Housing Census, 2008

14 Table 1-19: Area and Population Density (Person/sq km) by County: Eastern Equatoria State County Population Area (sq km) Density Eastern Equatoria State 906,161 73,472 12 Torit 99,740 5,796 17 Lafon 106,161 16,233 7 Kapoeta North 103,084 5,763 18 Kapoeta East 163,997 30,015 5 Kapoeta South 79,470 1,167 68 Budi 99,234 5,759 17 Ikotos 84,649 3,531 24 Magwi 169,826 5,208 33 Source: 5th Sudan Population and Housing Census, 2008

Table 1-20: County and Payam Population for Upper Nile State by Sex and Number of Households.

Number of Households Upper Nile State Sex Total Male Female Total Upper Nile State 964,353 525,430 438,923 149,267

Renk County 137,751 73,969 63,782 24,206 Chemmedi 11,587 6,639 4,948 2,195 Geger 39,649 20,620 19,029 7,234 Jalhak 17,436 9,920 7,516 3,093 North Renk 37,618 19,713 17,905 6,039 South Renk 31,461 17,077 14,384 5,645

Manyo County 38,010 20,905 17,105 6,894 Athidwoi 6,000 3,350 2,650 1,134 Kaka 9,143 5,430 3,713 1,592 Magenist 4,825 2,662 2,163 803 Wedakona 18,042 9,463 8,579 3,365

Fashoda County 36,518 19,364 17,154 6,147 Dethok 5,512 2,972 2,540 1,094 Kodok 9,103 4,885 4,218 1,566 Kodok Town 6,909 3,652 3,257 1,154 Lul 14,994 7,855 7,139 2,333

Melut County 49,242 30,453 18,789 7,523 Bimachuk 4,148 2,796 1,352 709 Galdora 7,075 3,886 3,189 1,394 Melut 14,554 8,391 6,163 2,192 Paloch 16,215 11,228 4,987 2,125 Panhomdit 5,703 3,241 2,462 802 Wunamum 1,547 911 636 301

Maban County 45,238 23,136 22,102 10,275 Banashowa 11,409 5,459 5,950 2,457 Boung 11,233 5,900 5,333 2,486 Jinkuata 6,722 3,558 3,164 1,381 Jinmakda 9,621 5,015 4,606 2,243 Khor El Amer 6,253 3,204 3,049 1,708

Source: 5th Sudan Population and Housing Census, 2008

15 Table 1-20: County and Payam Population for Upper Nile State by Sex and Number of Households Ctd.

Number of Households Upper Nile State Sex Total Male Female Total Maiwut County 79,462 43,589 35,873 10,889 Jekow 16,408 8,689 7,719 2,245 Jotoma 15,742 8,673 7,069 2,208 Kigila 2,748 1,467 1,281 675 Maiwut 10,870 6,040 4,830 1,248 Olang 16,306 8,988 7,318 2,319 Pagak 17,388 9,732 7,656 2,194

Luakpiny/Nasir County 210,002 115,641 94,361 29,703 Dingkar 13,954 7,768 6,186 1,538 Jikmir 28,614 15,745 12,869 4,103 Kiech Kuon 36,738 20,066 16,672 5,655 Kuerenge-Ke 23,093 12,411 10,682 3,265 Mading 31,791 17,983 13,808 4,866 Maker 11,183 6,314 4,869 1,602 Nasir 43,733 23,982 19,751 5,532 Roam 20,896 11,372 9,524 3,142

Longochuk County 63,166 34,112 - 29,054 8,674 Dajo 6,433 3,672 2,761 999 Guelguk 10,225 5,657 4,568 1,442 Longochuk 8,907 4,757 4,150 1,182 Malual 13,695 7,291 6,404 1,737 Pamach 14,836 8,035 6,801 2,205 Wudier 9,070 4,700 4,370 1,109

Ulang County 85,044 48,202 36,842 11,815 Doma 19,075 11,160 7,915 2,820 Kurmuot 28,539 15,845 12,694 3,776 Ulang 18,810 10,416 8,394 2,578 Yomding 18,620 10,781 7,839 2,641 Source: 5th Sudan Population and Housing Census, 2008

Table 1-20: County and Payam Population for Upper Nile State by Sex and Number of Households Ctd.

Number of Households Upper Nile State Sex Total Male Female Total Baliet County 48,010 26,183 21,827 7,484 Abwong 4,022 2,380 1,642 508 Adong 9,533 5,044 4,489 1,370 Akoka 4,759 2,452 2,307 776 Akotweng 3,796 2,161 1,635 769 Gel Achiel 1,876 926 950 388 Kuel 967 511 456 129 Nyongkuach 6,356 3,131 3,225 1,041 Nyongrial 8,943 5,651 3,292 1,045 Rom 5,074 2,569 2,505 909 Wunthow 2,684 1,358 1,326 549

Malakal County 126,483 66,707 59,776 18,007 Central Malakal 11,633 7,001 4,632 1,345 Eastern Malakal 24,037 12,130 11,907 3,271 Lelo 5,743 3,012 2,731 1,160

16 Northern Malakal 34,900 18,407 16,493 5,302 Ogot 6,212 3,255 2,957 1,115 Southern Malakal 43,958 22,902 21,056 5,814

Panyikang County 45,427 23,169 22,258 7,650 Anakdiar 3,009 1,417 1,592 546 Dheteim 3,599 1,820 1,779 733 Pakang 4,602 2,212 2,390 647 Panyidwoi 14,244 7,421 6,823 2,371 Panyikang 8,180 4,109 4,071 1,398 Tonga 11,793 6,190 5,603 1,955 Source: 5th Sudan Population and Housing Census, 2008

Table 1-21: County and Payam Population for Jonglei State by Sex and Number of households

Sex Number of Households Jonglei Total Male Female Total Jonglei State 1,358,602 734,327 624,275 204,352

Fangak County 110,130 58,105 52,025 15,243 Manajang 35,570 17,946 17,624 4,868 Mareang 20,457 11,288 9,169 3,198 Old Fangak 16,265 8,663 7,602 2,205 Paguer 23,309 12,687 10,622 3,206 Phom 14,529 7,521 7,008 1,766

Khorﬂus County 99,068 56,519 42,549 13,251 Alam 6,608 3,843 2,765 782 Atar 21,758 12,015 9,743 3,394 Belewach 7,167 4,191 2,976 904 Kaldak 6,552 3,920 2,632 1,014 Korwach 20,318 11,479 8,839 2,510 Mareng 11,448 6,723 4,725 1,591 Nyainthokmalual 18,585 10,254 8,331 2,297 Wunlem 6,632 4,094 2,538 759

Ayod County 139,282 78,872 60,410 17,378 Ayod 15,913 8,565 7,348 2,056 Kurwai 15,006 8,487 6,519 1,796 Kuach-Deng 10,513 6,080 4,433 1,382 Mogok 10,488 5,872 4,616 1,375 Pagil 24,065 13,697 10,368 2,933 Pajiek 31,562 18,269 13,293 4,083 Wau 31,735 17,902 13,833 3,753

Duk County 65,588 34,957 30,631 10,681 Ageer 9,337 4,942 4,395 1,480 Dongchak 10,864 6,106 4,758 1,614 Padiet 18,846 10,033 8,813 2,729 Pagak 6,816 3,735 3,081 1,072 Panyang 15,143 7,839 7,304 2,974 Payuel 4,582 2,302 2,280 812 Source: 5th Sudan Population and Housing Census, 2008

17 Table 1-21: County and Payam Population for Jonglei State by Sex and Number of households Ctd.

Sex Number of Households Jonglei Total Male Female Total Uror County 178,519 99,276 79,243 27,541 Karam 28,071 16,285 11,786 4,321 Motot 23,718 12,633 11,085 3,946 Pathai 34,617 19,272 15,345 5,227 Payai 22,746 12,905 9,841 3,421 Pieri 18,455 9,727 8,728 3,066 Puolchuol 14,915 7,994 6,921 2,299 Tiam 20,604 11,829 8,775 3,164 Uror 15,393 8,631 6,762 2,097

Nyirol County 108,674 60,567 48,107 17,065 Chuil 9,841 5,702 4,139 1,407 Nyambor 12,522 6,878 5,644 2,254 Pading 38,811 21,673 17,138 5,961 Pulturuk 20,690 11,271 9,419 3,386 Thol 12,299 6,868 5,431 1,940 Waat 14,511 8,175 6,336 2,117

Akobo County 136,210 75,314 60,896 18,508 Alali 4,156 2,197 1,959 608 Barmach 24,847 14,198 10,649 2,511 Bilkey 35,797 19,309 16,488 5,169 Buong 9,330 5,475 3,855 1,213 Dengjok 17,163 9,346 7,817 2,449 Diror 13,366 7,655 5,711 1,772 Nyandit 25,499 13,824 11,675 3,926 Walgak 6,052 3,310 2,742 860

Pochalla County 66,201 34,474 31,727 10,700 Adongo 25,212 12,734 12,478 3,844 Akiela 6,437 3,583 2,854 955 Burator 3,644 1,916 1,728 621 Omiela 6,972 3,901 3,071 1,042 Pochalla 23,936 12,340 11,596 4,238 Source: 5th Sudan Population and Housing Census, 2008

Table 1-21: County and Payam Population for Jonglei State by Sex and Number of households Ctd.

Sex Number of Households Jonglei Total Male Female Total Pibor County 148,475 76,018 72,457 25,217 Boma 6,074 3,383 2,691 1,462 Gumuruk 31,684 15,900 15,784 4,954 Kiziongora 9,312 4,746 4,566 1,759 Lekuangole 45,074 22,671 22,403 8,122 Marow 3,768 1,843 1,925 905 Mewun 1,261 628 633 344 Pibor 44,168 22,919 21,249 6,731 Verteth 7,134 3,928 3,206 940

Twic East 85,349 44,039 41,310 14,613 Ajuong 14,760 7,715 7,045 2,331 Kongor 22,180 11,304 10,876 3,602 Lith 10,712 5,671 5,041 1,861

18 Nyuak 21,121 10,571 10,550 4,158 Pakeer 16,576 8,778 7,798 2,661

Bor South 221,106 116,186 104,920 34,155 Anyidi 24,882 13,164 11,718 4,152 Baidit 51,532 26,915 24,617 8,067 Bor 61,716 32,644 29,072 8,959 Jalle 13,506 7,024 6,482 2,188 Kolnyang 40,058 21,188 18,870 6,158 Makuach 29,412 15,251 14,161 4,631 Source: 5th Sudan Population and Housing Census, 2008

Table 1-22: County and Payam Population for Unity State by Sex and Number of households

Sex Number of Households Unity State Total Male Female Total Unity State 585,801 300,247 285,554 91,577

Pariang County 82,443 43,108 39,335 12,104 Aliiny 13,632 7,269 6,363 2,007 Biu 14,817 7,490 7,327 2,327 Jamjang 19,036 9,990 9,046 2,882 Nyeel 6,424 3,416 3,008 914 Pariang 12,501 6,348 6,153 1,790 Werthen 12,600 6,508 6,092 1,720 Wunkur 3,433 2,087 1,346 464

Abiemnhom County 17,012 9,487 7,525 2,919 Abiemnhom 5,089 2,742 2,347 885 Aworpiny 2,861 1,620 1,241 394 Manjoga 2,935 1,773 1,162 509 Panyang 6,127 3,352 2,775 1,131

Mayom County 120,715 58,380 62,335 19,576 Bieh 3,023 1,749 1,274 586 Kuerbuona 19,168 10,623 8,545 2,445 Kueryiek 5,588 2,685 2,903 962 Mankien 22,971 10,752 12,219 3,791 Ngop 2,412 1,098 1,314 429 Pup 3,578 1,708 1,870 708 Riak 20,911 9,396 11,515 3,699 Ruathnyibuol 13,727 6,570 7,157 2,204 Wangbuor I 1,474 563 911 196 Wangbuor II 3,400 1,674 1,726 544 Wangbuor III 5,473 2,496 2,977 806 Wangkei 18,990 9,066 9,924 3,206 Source: 5th Sudan Population and Housing Census, 2008

Table 1-22: County and Payam Population for Unity State by Sex and Number of households

Sex Number of Households Unity State Total Male Female Total Rubkona County 100,236 51,630 48,606 14,912 Bentiu Town 41,328 22,006 19,322 5,935 Budaang 6,287 3,223 3,064 957 Dhorbor 1,951 1,022 929 301

19 Kaljak 4,191 2,196 1,995 631 Ngop 1,753 848 905 280 Nhialdiu 18,581 8,559 10,022 3,075 Panhiany 2,525 1,263 1,262 388 Rubkotne 20,003 10,537 9,466 2,873 Wathjaak 3,617 1,976 1,641 472

Guit County 33,004 18,409 14,595 4,142 Guit 6,266 3,198 3,068 1,012 Kedad 3,802 1,996 1,806 513 Kuach 10,407 6,514 3,893 825 Kuerguini 4,303 2,216 2,087 607 Niemni 1,664 975 689 200 Nyathoar 3,416 1,726 1,690 580 Wathnyona 3,146 1,784 1,362 405

Koch County 74,863 40,254 34,609 11,366 Boaw 19,222 10,261 8,961 2,814 Gany 3,304 1,798 1,506 557 Jaak 13,674 7,573 6,101 1,861 Kuachlual 10,277 5,405 4,872 1,618 Norbor 3,189 1,662 1,527 501 Ngony 19,595 10,348 9,247 3,223 Pakur 5,602 3,207 2,395 792

Leer County 53,022 26,027 26,995 8,476 Adok 10,872 5,657 5,215 1,725 Bou 4,167 2,127 2,040 655 Dok 17,827 8,922 8,905 2,684 Guat 3,968 1,850 2,118 609 Juongkang 3,513 1,597 1,916 676 Padeah 4,806 2,195 2,611 833 Pilieny 5,262 2,457 2,805 840 Yang 2,607 1,222 1,385 454 Source: 5th Sudan Population and Housing Census, 2008

Table 1-22: County and Payam Population for Unity State by Sex and Number of households Ctd.

Sex Number of Households Unity State Total Male Female Total Mayendit County 53,783 28,444 25,339 8,486 Bor 4,525 2,625 1,900 652 Daplual 7,351 3,906 3,445 1,080 Luom 7,165 3,783 3,382 1,289 Maal 3,075 1,611 1,464 450 Pabuong 230 159 71 146 Rubkuay 15,089 7,497 7,592 2,434 Thaker 8,932 4,786 4,146 1,327 Tharjiath 3,081 1,814 1,267 356 Tutnyang 4,335 2,263 2,072 752

Panyijiar County 50,723 24,508 26,215 9,596 Ganyliel 5,620 2,738 2,882 1,065 Kol 4,713 2,151 2,562 924 Mayom 4,078 2,116 1,962 786 Nyal 13,865 6,750 7,115 2,511 Pachaar 6,956 3,339 3,617 1,325 Pachak 3,916 1,875 2,041 764

20 Pachienjok 2,700 1,234 1,466 538 Panyijiar 2,026 1,063 963 368 Thoarnhom 3,103 1,374 1,729 608 Tiap 3,746 1,868 1,878 707 Source: 5th Sudan Population and Housing Census, 2008

Table 1-23: County and Payam Population for Warrap State by Sex and Number of households

Sex Number of Households Warrap State Total Male Female Total Warrap State 972,928 470,734 502,194 177,776

Abyei County 52,883 27,069 25,814 9,278 Alel 9,393 4,802 4,591 1,696 Ameth-Aguok 10,143 5,256 4,887 1,699 Rumameer 14,196 7,056 7,140 2,429 Mijak 4,420 2,137 2,283 798 Abyei 14,731 7,818 6,913 2,656

Twic County 204,905 99,663 105,242 36,085 Ajakkuac 10,402 5,322 5,080 1,932 Akoc 32,356 15,420 16,936 6,195 Aweeng 26,695 13,015 13,680 4,462 Pannyok 37,705 17,934 19,771 7,299 Turalei 46,764 22,829 23,935 7,930 Wunrok 50,983 25,143 25,840 8,267

Gogrial West County 243,921 116,994 126,927 46,418 Akon North 22,126 10,487 11,639 4,458 Akon South 31,336 14,732 16,604 6,023 Alek North 18,087 8,249 9,838 3,689 Alek South 32,254 15,057 17,197 6,117 Alek West 12,281 5,591 6,690 2,551 Gogrial 28,496 13,712 14,784 5,512 Kuac North 51,268 26,875 24,393 8,926 Kuac South 26,843 12,571 14,272 4,978 Riau 21,230 9,720 11,510 4,164

Gogrial East County 103,283 49,123 54,160 18,981 Nyang 4,470 2,351 2,119 790 Pathuon East 20,857 9,587 11,270 3,970 Pathuon West 25,732 12,310 13,422 4,725 Toch East 23,349 11,487 11,862 4,086 Toch North 21,075 9,941 11,134 3,869 Toch West 7,800 3,447 4,353 1,541 Source: 5th Sudan Population and Housing Census, 2008

Table 1-23: County and Payam Population for Warrap State by Sex and Number of households Ctd.

Sex Number of Households Warrap State Total Male Female Total Tonj North County 165,222 77,989 87,233 30,814 Akop 17,578 8,297 9,281 3,226 Alabek 26,450 12,474 13,976 4,493 Aliek 20,566 9,579 10,987 3,940 Warrap 5,769 3,004 2,765 929

21 Awuul 18,059 8,593 9,466 3,458 Kirik 16,163 7,445 8,718 3,256 Manloor 21,261 9,955 11,306 4,199 Mariallou 11,929 5,708 6,221 2,131 Pagol 14,957 7,147 7,810 2,791 Rualbet 12,490 5,787 6,703 2,391

Tonj East County 116,122 56,547 59,575 20,853 Ananatak 16,486 8,292 8,194 2,868 Makuac 11,279 5,716 5,563 1,913 Malualcum 12,177 5,733 6,444 2,251 Maparah 8,380 4,058 4,322 1,345 Mayen 11,639 5,595 6,044 1,881 Pagor 3,459 1,660 1,799 739 Palal 11,839 5,811 6,028 2,245 Paliang 11,191 5,466 5,725 2,057 Pannhial 9,795 4,688 5,107 1,709 Paweng 6,508 3,248 3,260 1,207 Wunliit 13,369 6,280 7,089 2,638

Tonj South County 86,592 43,349 43,243 15,347 Jak 7,469 3,666 3,803 1,481 Thiet 19,573 9,264 10,309 3,477 Wanhalel 14,485 7,053 7,432 2,740 Tonj 30,180 16,027 14,153 4,907 Manyang-Ngok 14,885 7,339 7,546 2,742 Source: 5th Sudan Population and Housing Census, 2008

Table 1-24: County and Payam Population for Northern Bahr El Ghazal State by Sex and Number of households

Sex Number of Households NBS Total Male Female Total Northern Bahr El Ghazal State 720,898 348,290 372,608 139,963

Aweil North County 129,127 60,697 68,430 25,812 Ariath 14,592 6,978 7,614 2,955 Malual Centre 19,182 8,791 10,391 3,818 Malual East 47,400 22,195 25,205 9,488 Malual North 32,053 15,329 16,724 6,442 Malual West 15,900 7,404 8,496 3,109

Aweil East County 309,921 147,821 162,100 60,227 Baach 79,462 38,724 40,738 15,478 Madhol 56,072 27,285 28,787 10,868 Malual-Bai 47,076 21,939 25,137 9,040 Mangar-Tong I 17,259 8,135 9,124 3,471 Mangok 28,596 13,348 15,248 5,738 Wunlang 39,183 18,760 20,423 7,499 Yargot 29,807 13,823 15,984 5,723 Mayom-Wel 12,466 5,807 6,659 2,410

Aweil South County 73,806 34,525 39,281 14,299 Ayai 7,020 3,268 3,752 1,346 Gakrol 7,858 3,736 4,122 1,578 Nyieth 8,580 4,086 4,494 1,671 Nyocawany I 8,884 4,477 4,407 1,501 Panthou 13,019 6,004 7,015 2,559 Tar-Weng 5,774 2,692 3,082 1,209

22 Tiar-Aleit 10,683 4,747 5,936 2,027 Wathmuok 10,716 4,908 5,808 2,138 Nyocawany II 1,272 607 665 270

Aweil West County 166,217 83,048 83,169 30,183 Achana 1,529 862 667 294 Aweil Town 59,217 32,146 27,071 9,522 Ayat Centre 6,732 2,995 3,737 1,446 Ayat East 16,558 7,659 8,899 3,066 Ayat West 5,313 2,497 2,816 1,001 Gomjuer Centre 22,057 10,427 11,630 4,015 Gomjuer East 12,621 6,040 6,581 2,503 Gomjuer West 11,588 5,686 5,902 2,733 Mariem East 15,974 7,995 7,979 2,699 Mariem West 14,628 6,741 7,887 2,904 Source: 5th Sudan Population and Housing Census, 2008

Table 1-24: County and Payam Population for Northern Bahr El Ghazal State by Sex and Number of households Ctd.

Sex Number of Households NBS Total Male Female Total Aweil Centre County 41,827 22,199 19,628 9,442 Abul 2,383 1,274 1,109 566 Achana 2,309 1,124 1,185 452 Aroyo 4,180 2,260 1,920 840 Bar Mayen 20,311 10,792 9,519 5,254 Chel South 8,182 4,564 3,618 1,392 Nyalath 4,462 2,185 2,277 938 Source: 5th Sudan Population and Housing Census, 2008

Table 1-24: County and Payam Population for Northern Bahr El Ghazal State by Sex and Number of households Ctd.

Table 1-25: County and Payam Population for Western Bahr El Ghazal State by Sex and Number of households

Sex Number of Households NBS Total Male Female Total Western Bahr El Ghazal 333,431 177,040 156,391 62,290

Raga County 54,340 28,182 26,158 10,592 Ere 8,760 4,940 3,820 1,347 Raga 26,308 12,627 13,681 5,988 Ringi 10,798 5,850 4,948 1,623 Uyujuku 8,474 4,765 3,709 1,634

23 Jur River County 127,771 68,077 59,694 22,084 Kangi 18,838 9,605 9,233 3,842 Kuajena 42,586 24,390 18,196 5,398 Marial Bai 22,475 11,713 10,762 4,234 Rocrocdong 14,786 7,755 7,031 2,711 Udici 16,704 8,418 8,286 3,417 Wau Bai 12,382 6,196 6,186 2,482

Wau County 151,320 80,781 70,539 29,614 Bagari 19,531 10,189 9,342 4,455 Besselia 7,732 3,866 3,866 2,089 Kpaile 5,726 2,949 2,777 955 Wau North 53,712 29,790 23,922 9,737 Wau South 64,619 33,987 30,632 12,378 Source: 5th Sudan Population and Housing Census, 2008

Table 1-26: County and Payam Population for Lakes State by Sex and Number of households

Sex Number of Households Lakes State Total Male Female Total Lakes State 695,730 365,880 329,850 100,076

Cueibet County 117,755 60,188 57,567 18,163 Abiriu 27,206 13,502 13,704 4,130 Citcok 16,594 8,365 8,229 2,684 Duony 9,086 4,259 4,827 1,647 Malou-Pec 41,388 21,551 19,837 6,119 Ngap 13,171 7,243 5,928 1,964 Pagor 10,310 5,268 5,042 1,619

Rumbek North County 43,410 24,395 19,015 5,316 Aloor 5,620 3,225 2,395 637 Madol 8,195 4,866 3,329 1,007 Malueeth 10,410 5,695 4,715 1,314 Maper 2,527 1,513 1,014 264 Mayen 13,016 7,127 5,889 1,643 Wun-Rieng 3,642 1,969 1,673 451

Rumbek Centre County 153,550 83,014 70,536 18,801 Amongpiny 19,627 10,633 8,994 2,335 Jiir 46,254 25,385 20,869 5,368 Malek 6,863 4,049 2,814 890 Matangai 70,534 37,673 32,861 8,883 Mayom 10,272 5,274 4,998 1,325

Wulu County 40,550 21,447 19,103 7,306 Bargel 13,364 6,916 6,448 2,572 Domoloto 8,475 4,639 3,836 1,441 Makundi 7,883 4,430 3,453 1,437 Wulu 10,828 5,462 5,366 1,856

Rumbek East County 122,832 65,725 57,107 16,596 Akot 17,638 9,693 7,945 2,076 Atiaba 15,573 8,129 7,444 2,372 Cueicok 23,922 13,178 10,744 2,904 Maleng-Agok 6,249 3,295 2,954 900

24 Pacong 24,048 12,537 11,511 3,108 Paloch 6,920 3,982 2,938 876 Aduel 28,482 14,911 13,571 4,360 Source: 5th Sudan Population and Housing Census, 2008

Table 1-26: County and Payam Population for Lakes State by Sex and Number of households

Sex Number of Households Lakes State Total Male Female Total Yirol West County 103,190 53,835 49,355 16,042 Abang 21,594 10,761 10,833 3,429 Aluakluak 15,221 7,317 7,904 2,540 Anuol 12,143 6,412 5,731 2,009 Geng-Geng 15,747 9,238 6,509 2,481 Gher 4,796 2,450 2,346 679 Mapuordit 20,982 11,208 9,774 3,220 Yirol 12,707 6,449 6,258 1,684

Yirol East County 67,402 33,977 33,425 9,578 Adior 14,015 7,360 6,655 1,910 Lekakedu 14,017 7,024 6,993 2,143 Malek 9,910 5,069 4,841 1,319 Pagarau 13,854 7,077 6,777 1,705 Tinagau 4,496 2,188 2,308 758 Yali 11,110 5,259 5,851 1,743

Awerial County 47,041 23,299 23,742 8,274 Abuyong 8,893 4,568 4,325 1,486 Bun-Agok 5,901 2,879 3,022 1,255 Dor 11,064 5,361 5,703 2,151 Magok 763 351 412 151 Nile 2,768 1,457 1,311 340 Puluk 10,270 4,938 5,332 1,985 Alel I 5,284 2,740 2,544 472 Alel II 2,098 1,005 1,093 434 Source: 5th Sudan Population and Housing Census, 2008

Table 1-27: County and Payam Population for Western Equatoria State by Sex and Number of households Sex Number of Households WES Total Male Female Total Western Equatoria 619,029 318,443 300,586 120,247

Tambura County 55,365 27,319 28,046 13,504 Mupoi 4,459 2,106 2,353 1,260 Namutina 13,918 6,827 7,091 3,003 Source Yubu 12,065 6,134 5,931 2,783 Tambura 24,923 12,252 12,671 6,458

Nagero County 10,077 5,321 4,756 2,288 Nagero 10,077 5,321 4,756 2,288

Nzara County 65,712 34,381 31,331 16,628 Basukangbi 7,160 3,808 3,352 1,700 Nzara Centre 30,754 15,794 14,960 7,808

25 Ringasi 2,214 1,173 1,041 686 Sakure 14,946 8,082 6,864 3,752 Sangua 10,638 5,524 5,114 2,682

Ezo County 80,861 41,560 39,301 18,600 Andari 11,472 5,960 5,512 2,672 Bagidi 4,901 2,418 2,483 1,499 Bariguna 6,526 3,288 3,238 1,595 Ezo Centre 31,644 16,144 15,500 7,199 Naandi 10,096 5,069 5,027 2,871 Yangiri 16,222 8,681 7,541 2,764

Yambio County 152,257 78,331 73,926 26,148 Bangasu 14,646 7,340 7,306 2,256 Gangura 16,504 8,247 8,257 3,034 Ri-Rangu 11,068 5,702 5,366 2,043 Nadiangere 4,158 2,227 1,931 977 Yambio Town 105,881 54,815 51,066 17,838

Ibba County 41,869 21,545 20,324 10,778 Ibba Centre 11,354 5,889 5,465 2,785 Madebe 12,125 6,085 6,040 3,242 Manikakara 5,836 2,881 2,955 1,669 Maruko 3,926 2,107 1,819 781 Nabanga 8,628 4,583 4,045 2,301 Source: 5th Sudan Population and Housing Census, 2008

Table 1-27: County and Payam Population for Western Equatoria State by Sex and Number of households Ctd.

Sex Number of Households WES Total Male Female Total Maridi County 82,461 43,564 38,897 13,537 Kozi 6,161 3,292 2,869 1,029 Landili 4,188 2,239 1,949 681 Mambe 7,673 4,200 3,473 1,214 Maridi 55,602 29,060 26,542 9,082 Ngamunde 8,837 4,773 4,064 1,531

Mvolo County 48,134 25,725 22,409 6,932 Bagori 4,955 2,802 2,153 625 Bahr El Grindi 8,404 4,400 4,004 1,398 Dari 4,847 2,725 2,122 737 Kokor 5,092 2,628 2,464 891 Lessi 4,356 2,330 2,026 457 Mvolo 10,312 5,305 5,007 1,528 Yeri 10,168 5,535 4,633 1,296

Mundri West County 33,975 17,014 16,961 4,339 Amadi 2,434 1,289 1,145 308 Bangolo 5,541 2,800 2,741 755 Kotobi 10,632 5,294 5,338 1,396 Mundri 15,368 7,631 7,737 1,880

Mundri East County 48,318 23,683 24,635 7,493 Kedi ‘ba 14,395 7,163 7,232 2,248

26 Lakamadi 5,257 2,591 2,666 772 Lozoh 14,566 6,979 7,587 2,329 Minga 4,996 2,430 2,566 788 Witto 9,104 4,520 4,584 1,356 Source: 5th Sudan Population and Housing Census, 2008

Table 1-28: County and Payam Population for Central Equatoria State by Sex and Number of households

Sex Number of Households CES Total Male Female Total Central Equatoria 1,103,557 581,722 521,835 189,057

Terekeka County 144,373 74,165 70,208 28,198 Gameiza 7,558 4,380 3,178 1,690 Muni 18,073 8,540 9,533 4,058 Nyori 11,234 5,451 5,783 2,233 Reggo 19,832 9,566 10,266 4,372 Rijong 8,747 4,379 4,368 1,761 Tali 30,387 16,053 14,334 5,238 Terekeka 20,770 10,540 10,230 3,856 Tindilo 15,659 8,920 6,739 2,355 Tombek 8,136 4,155 3,981 1,689 Mangala North 3,977 2,181 1,796 946

Juba County 368,436 203,493 164,943 61,586 Bungu 2,737 1,659 1,078 539 Dolo 14,132 7,659 6,473 2,423 Ganji 2,689 1,356 1,333 497 Gondokoro 6,522 3,205 3,317 1,457 Juba Town 82,346 48,747 33,599 11,753 Kator 64,130 34,973 29,157 11,018 Lirya 5,949 2,986 2,963 1,228 Lokiliri 8,215 4,265 3,950 1,322 Lobonok 8,980 4,538 4,442 1,638 Mangala South 7,039 3,842 3,197 1,493 Munuki 83,719 45,707 38,012 13,404 Northern Bari 39,810 23,019 16,791 6,517 Rejaf 15,604 8,232 7,372 3,204 Rokon 5,684 2,909 2,775 1,144 Tijor 8,132 4,097 4,035 1,570 Wonduruba 12,748 6,299 6,449 2,379

Lainya County 89,315 47,424 41,891 14,586 Kenyi 19,086 10,120 8,966 3,566 Kupera 22,370 12,101 10,269 3,338 Lainya 25,941 13,803 12,138 3,659 Mukaya 10,563 5,423 5,140 1,956 Wuji 11,355 5,977 5,378 2,067 Source: 5th Sudan Population and Housing Census, 2008

27 Table 1-28: County and Payam Population for Central Equatoria State by Sex and Number of households Ctd.

Sex Number of Households CES Total Male Female Total Yei County 201,443 105,165 96,278 35,003 Lasu 15,676 8,067 7,609 2,689 Mugwo 21,735 10,912 10,823 3,992 Otogo 28,986 14,583 14,403 5,804 Tore 23,778 12,809 10,969 3,734 Yei Town 111,268 58,794 52,474 18,784

Morobo County 103,603 52,976 50,627 16,221 Gulumbi 31,523 15,853 15,670 5,317 Kimba 31,767 17,203 14,564 4,326 Lujulo 16,786 8,138 8,648 2,652 Panyume 11,414 5,818 5,596 2,085 Wudabi 12,113 5,964 6,149 1,841

Kajo-Keji County 196,387 98,499 97,888 33,463 Kangapo I 44,753 22,402 22,351 7,360 Kangapo II 53,389 26,180 27,209 9,921 Lire 31,438 15,649 15,789 5,351 Liwolo 43,732 22,182 21,550 7,611 Nyepo 23,075 12,086 10,989 3,220

Source: 5th Sudan Population and Housing Census, 2008

Table 1-29: County and Payam Population for Eastern Equatoria State by Sex and Number of households

Sex Number of Households EES Total Male Female Total Eastern Equatoria 906,161 465,187 440,974 162,407

Torit County 99,740 50,644 49,096 20,251 Bur 13,449 6,851 6,598 2,797 Himodonge 8,030 4,138 3,892 1,530 Hiyala 21,120 10,315 10,805 4,167 Ifwotu 7,785 4,034 3,751 1,753 Imurok 6,138 2,919 3,219 1,599 Kudo 9,561 4,603 4,958 2,239 Torit 33,657 17,784 15,873 6,166

Lafon County 106,161 55,943 50,218 17,659 Arihilo 15,444 8,269 7,175 2,472 Burgilo 13,733 7,349 6,384 2,291 Imehejek 14,803 7,703 7,100 2,505 Kurumi 6,985 3,673 3,312 1,315 Lohutok 29,178 14,660 14,518 4,457 Longiro 10,215 5,135 5,080 1,971 Marguna 7,798 4,329 3,469 1,621 Pachidi 8,005 4,825 3,180 1,027

28 Kapoeta North County 103,084 53,269 49,815 16,891 Chumakori 14,453 7,415 7,038 2,397 Karukomuge 24,740 12,825 11,915 4,694 Lomeyen 16,082 8,346 7,736 2,224 Mosingo 12,202 6,181 6,021 2,017 Najie 12,616 6,703 5,913 1,936 Paringa 22,991 11,799 11,192 3,623

Kapoeta East County 163,997 81,020 82,977 31,659 Jie 8,576 4,675 3,901 1,590 Katodori 23,922 11,309 12,613 5,290 Kauto 51,323 26,112 25,211 8,861 Lotimor 13,800 6,676 7,124 2,536 Mogos 31,814 15,277 16,537 6,482 Narus 27,489 12,831 14,658 5,788 Natinga 7,073 4,140 2,933 1,112 Source: 5th Sudan Population and Housing Census, 2008

Table 1-29: County and Payam Population for Eastern Equatoria State by Sex and Number of households Ctd.

Sex Number of Households EES Total Male Female Total Kapoeta South County 79,470 42,402 37,068 12,894 Kapoeta Town 16,449 8,927 7,522 3,066 Longeleya 12,512 6,130 6,382 2,208 Machi I 19,197 10,716 8,481 2,910 Machi II 13,793 6,693 7,100 2,597 Pwata 17,519 9,936 7,583 2,113

Budi County 99,234 49,925 49,309 18,304 Kimotong 13,750 7,537 6,213 1,886 Komori 17,413 8,180 9,233 4,072 Loriyok 9,778 5,428 4,350 1,464 Lotukei 13,363 6,440 6,923 2,806 Loudo 12,087 5,723 6,364 2,302 Nagishot 6,015 2,940 3,075 1,221 Napak 14,059 7,641 6,418 2,023 Nauro 12,769 6,036 6,733 2,530

Ikotos County 84,649 42,106 42,543 16,760 Hatire 5,789 2,931 2,858 1,234 Ikotos 21,626 10,734 10,892 4,222 Imotong 11,370 5,457 5,913 2,742 Lomohidang North 14,710 7,038 7,672 3,012 Lomohidang South 15,132 7,409 7,723 3,238 Losite 16,022 8,537 7,485 2,312

Magwi County 169,826 89,878 79,948 27,989 Lobone 13,177 7,053 6,124 2,580 Magwi 41,778 21,570 20,208 7,738 Mugali 25,771 13,972 11,799 3,405 Nimule 38,181 19,979 18,202 6,169

29 Pageri 29,576 15,424 14,152 4,481 Pajok 21,343 11,880 9,463 3,616 Source: 5th Sudan Population and Housing Census, 2008

Table 1-30: Upper Nile Five Year Age Groups by Sex Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 964353 100 525430 100 438923 100 0 to 4 150872 15.6 82690 15.7 68182 15.5 5 to 9 151467 15.7 83744 15.9 67723 15.4 10 to 14 126140 13.1 71027 13.5 55113 12.6 15 to 19 103804 10.8 57387 10.9 46417 10.6 20 to 24 82588 8.6 42521 8.1 40067 9.1 25 to 29 76754 8.0 38795 7.4 37959 8.6 30 to 34 63134 6.5 32236 6.1 30898 7.0 35 to 39 56806 5.9 30228 5.8 26578 6.1 40 to 44 42139 4.4 22290 4.2 19849 4.5 45 to 49 31794 3.3 18163 3.5 13631 3.1 50 to 54 24273 2.5 13627 2.6 10646 2.4 55 to 59 14381 1.5 8557 1.6 5824 1.3 60 to 64 14311 1.5 8419 1.6 5892 1.3 65+ 25890 2.7 15746 3.0 10144 2.3 Source: 5th Sudan Population and Housing Census, 2008

Table 1-31: Five Year Age Groups by Sex: Renk County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 137751 100 73969 100 63782 100 0 to 4 22897 16.6 12010 16.2 10887 17.1 5 to 9 19684 14.3 10305 13.9 9379 14.7 10 to 14 16074 11.7 8537 11.5 7537 11.8 15 to 19 13770 10.0 6994 9.5 6776 10.6 20 to 24 12939 9.4 6343 8.6 6596 10.3 25 to 29 11859 8.6 6104 8.3 5755 9.0 30 to 34 9317 6.8 5110 6.9 4207 6.6 35 to 39 8566 6.2 5004 6.8 3562 5.6 40 to 44 6495 4.7 3802 5.1 2693 4.2 45 to 49 4484 3.3 2777 3.8 1707 2.7 50 to 54 3791 2.8 2124 2.9 1667 2.6 55 to 59 1913 1.4 1206 1.6 707 1.1 60 to 64 2128 1.5 1304 1.8 824 1.3 65+ 3834 2.8 2349 3.2 1485 2.3 Source: 5th Sudan Population and Housing Census, 2008

Table 1-32: Five Year Age Groups by Sex. Manyo County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 38010 100 20905 100 17105 100 0 to 4 6344 16.7 3290 15.7 3054 17.9 5 to 9 5989 15.8 3136 15.0 2853 16.7 10 to 14 4671 12.3 2559 12.2 2112 12.3 15 to 19 3810 10.0 2095 10.0 1715 10.0 20 to 24 3075 8.1 1639 7.8 1436 8.4 25 to 29 3215 8.5 1713 8.2 1502 8.8 30 to 34 2545 6.7 1452 6.9 1093 6.4 35 to 39 2253 5.9 1341 6.4 912 5.3 40 to 44 1669 4.4 992 4.7 677 4.0 45 to 49 1141 3.0 709 3.4 432 2.5

30 50 to 54 947 2.5 530 2.5 417 2.4 55 to 59 553 1.5 343 1.6 210 1.2 60 to 64 580 1.5 355 1.7 225 1.3 65+ 1218 3.2 751 3.6 467 2.7 Source: 5th Sudan Population and Housing Census, 2008

Table 1-33: Five Year Age Groups by Sex. Fashoda County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 36518 100 19364 100 17154 100 0 to 4 6111 16.7 3282 16.9 2829 16.5 5 to 9 6339 17.4 3490 18.0 2849 16.6 10 to 14 5056 13.8 2792 14.4 2264 13.2 15 to 19 3696 10.1 2122 11.0 1574 9.2 20 to 24 2527 6.9 1278 6.6 1249 7.3 25 to 29 2395 6.6 1132 5.8 1263 7.4 30 to 34 2131 5.8 1015 5.2 1116 6.5 35 to 39 1712 4.7 820 4.2 892 5.2 40 to 44 1507 4.1 740 3.8 767 4.5 45 to 49 1101 3.0 571 2.9 530 3.1 50 to 54 965 2.6 459 2.4 506 2.9 55 to 59 817 2.2 419 2.2 398 2.3 60 to 64 710 1.9 393 2.0 317 1.8 65+ 1451 4.0 851 4.4 600 3.5 Source: 5th Sudan Population and Housing Census, 2008

Table 1-34: Five Year Age Groups by Sex. Melut County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 49242 100 30453 100 18789 100 0 to 4 7037 14.3 3913 12.8 3124 16.6 5 to 9 6454 13.1 3710 12.2 2744 14.6 10 to 14 5081 10.3 2898 9.5 2183 11.6 15 to 19 4420 9.0 2540 8.3 1880 10.0 20 to 24 4808 9.8 2862 9.4 1946 10.4 25 to 29 5173 10.5 3341 11.0 1832 9.8 30 to 34 4474 9.1 3046 10.0 1428 7.6 35 to 39 3530 7.2 2505 8.2 1025 5.5 40 to 44 2731 5.5 1918 6.3 813 4.3 45 to 49 1634 3.3 1168 3.8 466 2.5 50 to 54 1466 3.0 966 3.2 500 2.7 55 to 59 713 1.4 496 1.6 217 1.2 60 to 64 673 1.4 429 1.4 244 1.3 65+ 1048 2.1 661 2.2 387 2.1 Source: 5th Sudan Population and Housing Census, 2008

Table 1-35: Five Year Age Groups by Sex. Maban County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 45238 100 23136 100 22102 100 0 to 4 9506 21.0 4985 21.5 4521 20.5 5 to 9 7584 16.8 3936 17.0 3648 16.5 10 to 14 4716 10.4 2578 11.1 2138 9.7 15 to 19 3712 8.2 1781 7.7 1931 8.7 20 to 24 3669 8.1 1578 6.8 2091 9.5 25 to 29 3957 8.7 1862 8.0 2095 9.5 30 to 34 2705 6.0 1271 5.5 1434 6.5 35 to 39 2634 5.8 1424 6.2 1210 5.5

31 40 to 44 1658 3.7 854 3.7 804 3.6 45 to 49 1369 3.0 798 3.4 571 2.6 50 to 54 949 2.1 519 2.2 430 1.9 55 to 59 633 1.4 328 1.4 305 1.4 60 to 64 591 1.3 336 1.5 255 1.2 65+ 1555 3.4 886 3.8 669 3.0 Source: 5th Sudan Population and Housing Census, 2008

Table 1-36: Five Year Age Groups by Sex. Maiwut County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 79462 100 43589 100 35873 100 0 to 4 10325 13.0 6035 13.80 4290 12.0 5 to 9 12209 15.4 7141 16.40 5068 14.1 10 to 14 11495 14.5 6788 15.60 4707 13.1 15 to 19 9494 11.9 5552 12.70 3942 11.0 20 to 24 6477 8.2 3557 8.20 2920 8.1 25 to 29 5542 7.0 2597 6.00 2945 8.2 30 to 34 5054 6.4 2186 5.00 2868 8.0 35 to 39 4525 5.7 2131 4.90 2394 6.7 40 to 44 3481 4.4 1519 3.50 1962 5.5 45 to 49 2879 3.6 1475 3.40 1404 3.9 50 to 54 2044 2.6 1084 2.50 960 2.7 55 to 59 1330 1.7 721 1.70 609 1.7 60 to 64 1449 1.8 822 1.90 627 1.7 65+ 3158 4.0 1981 4.50 1177 3.3 Source: 5th Sudan Population and Housing Census, 2008

Table 1-37: Five Year Age Groups by Sex. Luakping/Nasir County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 210002 100 115641 100 94361 100 0 to 4 29705 14.1 17193 14.9 12512 13.3 5 to 9 35243 16.8 20426 17.7 14817 15.7 10 to 14 31921 15.2 18626 16.1 13295 14.1 15 to 19 26601 12.7 15123 13.1 11478 12.2 20 to 24 17212 8.2 8767 7.6 8445 8.9 25 to 29 14322 6.8 6581 5.7 7741 8.2 30 to 34 12646 6.0 5586 4.8 7060 7.5 35 to 39 11891 5.7 5516 4.8 6375 6.8 40 to 44 8669 4.1 4229 3.7 4440 4.7 45 to 49 6830 3.3 3831 3.3 2999 3.2 50 to 54 4754 2.3 2861 2.5 1893 2.0 55 to 59 2716 1.3 1840 1.6 876 0.9 60 to 64 2793 1.3 1772 1.5 1021 1.1 65+ 4699 2.2 3290 2.8 1409 1.5 Source: 5th Sudan Population and Housing Census, 2008

Table 1-38: Five Year Age Groups by Sex. Longochuk County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 63166 100 34112 100 29054 100 0 to 4 10091 16.0 5729 16.8 4362 15.0 5 to 9 10914 17.3 6226 18.3 4688 16.1 10 to 14 8828 14.0 5035 14.8 3793 13.1 15 to 19 6766 10.7 3863 11.3 2903 10.0 20 to 24 4882 7.7 2551 7.5 2331 8.0 25 to 29 4508 7.1 2006 5.9 2502 8.6

32 30 to 34 3822 6.1 1799 5.3 2023 7.0 35 to 39 3892 6.2 1867 5.5 2025 7.0 40 to 44 2655 4.2 1245 3.6 1410 4.9 45 to 49 2076 3.3 1079 3.2 997 3.4 50 to 54 1519 2.4 842 2.5 677 2.3 55 to 59 844 1.3 477 1.4 367 1.3 60 to 64 883 1.4 527 1.5 356 1.2 65+ 1486 2.4 866 2.5 620 2.1 Source: 5th Sudan Population and Housing Census, 2008

Table 1-39: Five Year Age Groups by Sex. Ulang County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 85044 100 48202 100 36842 100 0 to 4 12776 15.0 7645 15.9 5131 13.9 5 to 9 14386 16.9 8491 17.6 5895 16.0 10 to 14 12144 14.3 7409 15.4 4735 12.9 15 to 19 9941 11.7 5937 12.3 4004 10.9 20 to 24 6742 7.9 3627 7.5 3115 8.5 25 to 29 5738 6.7 2709 5.6 3029 8.2 30 to 34 5210 6.1 2368 4.9 2842 7.7 35 to 39 4710 5.5 2290 4.8 2420 6.6 40 to 44 3766 4.4 1910 4.0 1856 5.0 45 to 49 3121 3.7 1739 3.6 1382 3.8 50 to 54 2151 2.5 1259 2.6 892 2.4 55 to 59 1352 1.6 872 1.8 480 1.3 60 to 64 1274 1.5 815 1.7 459 1.2 65+ 1733 2.0 1131 2.3 602 1.6 Source: 5th Sudan Population and Housing Census, 2008

Table 1-40: Five Year Age Groups by Sex. Baliet County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 48010 100 26183 100 21827 100 0 to 4 7259 15.1 3942 15.1 3317 15.2 5 to 9 7220 15.0 3947 15.1 3273 15.0 10 to 14 5437 11.3 3009 11.5 2428 11.1 15 to 19 4198 8.7 2386 9.1 1812 8.3 20 to 24 4073 8.5 2245 8.6 1828 8.4 25 to 29 4417 9.2 2494 9.5 1923 8.8 30 to 34 3646 7.6 1899 7.3 1747 8.0 35 to 39 3032 6.3 1620 6.2 1412 6.5 40 to 44 2357 4.9 1169 4.5 1188 5.4 45 to 49 1656 3.4 931 3.6 725 3.3 50 to 54 1436 3.0 733 2.8 703 3.2 55 to 59 799 1.7 450 1.7 349 1.6 60 to 64 853 1.8 460 1.8 393 1.8 65+ 1627 3.4 898 3.4 729 3.3 Source: 5th Sudan Population and Housing Census, 2008

Table 1-41: Five Year Age Groups by Sex. Malakal County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 126483 100 66707 100 59776 100 0 to 4 21109 16.7 10746 16.1 10363 17.3 5 to 9 18049 14.3 9051 13.6 8998 15.1 10 to 14 15102 11.9 7854 11.8 7248 12.1 15 to 19 13490 10.7 7060 10.6 6430 10.8

33 20 to 24 12848 10.2 6562 9.8 6286 10.5 25 to 29 12087 9.6 6612 9.9 5475 9.2 30 to 34 8519 6.7 4976 7.5 3543 5.9 35 to 39 7343 5.8 4210 6.3 3133 5.2 40 to 44 5114 4.0 2857 4.3 2257 3.8 45 to 49 3996 3.2 2228 3.3 1768 3.0 50 to 54 2968 2.3 1564 2.3 1404 2.3 55 to 59 1849 1.5 966 1.4 883 1.5 60 to 64 1617 1.3 819 1.2 798 1.3 65+ 2392 1.9 1202 1.8 1190 2.0 Source: 5th Sudan Population and Housing Census, 2008

Table 1-42: Five Year Age Groups by Sex. Panyikang County, Upper Nile State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 45427 100 23169 100 22258 100 0 to 4 7712 17.0 3920 16.9 3792 17.0 5 to 9 7396 16.3 3885 16.8 3511 15.8 10 to 14 5615 12.4 2942 12.7 2673 12.0 15 to 19 3906 8.6 1934 8.3 1972 8.9 20 to 24 3336 7.3 1512 6.5 1824 8.2 25 to 29 3541 7.8 1644 7.1 1897 8.5 30 to 34 3065 6.7 1528 6.6 1537 6.9 35 to 39 2718 6.0 1500 6.5 1218 5.5 40 to 44 2037 4.5 1055 4.6 982 4.4 45 to 49 1507 3.3 857 3.7 650 2.9 50 to 54 1283 2.8 686 3.0 597 2.7 55 to 59 862 1.9 439 1.9 423 1.9 60 to 64 760 1.7 387 1.7 373 1.7 65+ 1689 3.7 880 3.8 809 3.6 Source: 5th Sudan Population and Housing Census, 2008

Table 1-43: Five Year Age Groups by Sex. Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 1358602 100 734327 100 624275 100 0 to 4 207424 15.3 115806 15.8 91618 14.7 5 to 9 215121 15.8 120885 16.5 94236 15.1 10 to 14 179544 13.2 101752 13.9 77792 12.5 15 to 19 146141 10.8 80739 11.0 65402 10.5 20 to 24 121886 9.0 62047 8.4 59839 9.6 25 to 29 109109 8.0 52324 7.1 56785 9.1 30 to 34 90517 6.7 42948 5.8 47569 7.6 35 to 39 74858 5.5 37196 5.1 37662 6.0 40 to 44 58131 4.3 28822 3.9 29309 4.7 45 to 49 45134 3.3 24907 3.4 20227 3.2 50 to 54 35441 2.6 19713 2.7 15728 2.5 55 to 59 19593 1.4 11824 1.6 7769 1.2 60 to 64 20661 1.5 12706 1.7 7955 1.3 65+ 35042 2.6 22658 3.1 12384 2.0 Source: 5th Sudan Population and Housing Census, 2008

34 Table 1-44: Five Year Age Groups by Sex. Fangak County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 110130 100 58105 100 52025 100 0 to 4 20238 18.4 11172 19.2 9066 17.4 5 to 9 18698 17.0 10222 17.6 8476 16.3 10 to 14 14178 12.9 7876 13.6 6302 12.1 15 to 19 10549 9.6 5741 9.9 4808 9.2 20 to 24 9076 8.2 4393 7.6 4683 9.0 25 to 29 8107 7.4 3757 6.5 4350 8.4 30 to 34 7057 6.4 3192 5.5 3865 7.4 35 to 39 5550 5.0 2742 4.7 2808 5.4 40 to 44 4071 3.7 1978 3.4 2093 4.0 45 to 49 3091 2.8 1658 2.9 1433 2.8 50 to 54 2662 2.4 1338 2.3 1324 2.5 55 to 59 1596 1.4 868 1.5 728 1.4 60 to 64 1720 1.6 999 1.7 721 1.4 65+ 3537 3.2 2169 3.7 1368 2.6 Source: 5th Sudan Population and Housing Census, 2008

Table 1-45: Five Year Age Groups by Sex. Khorﬂus County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 99068 100 56519 100 42549 100 0 to 4 14780 14.9 8447 14.9 6333 14.9 5 to 9 15208 15.4 8857 15.7 6351 14.9 10 to 14 12074 12.2 7122 12.6 4952 11.6 15 to 19 9724 9.8 5671 10.0 4053 9.5 20 to 24 8403 8.5 4702 8.3 3701 8.7 25 to 29 7694 7.8 3796 6.7 3898 9.2 30 to 34 7006 7.1 3565 6.3 3441 8.1 35 to 39 5806 5.9 3137 5.6 2669 6.3 40 to 44 5348 5.4 2788 4.9 2560 6.0 45 to 49 3773 3.8 2285 4.0 1488 3.5 50 to 54 3032 3.1 1807 3.2 1225 2.9 55 to 59 1573 1.6 1069 1.9 504 1.2 60 to 64 1676 1.7 1151 2.0 525 1.2 65+ 2971 3.0 2122 3.8 849 2.0 Source: 5th Sudan Population and Housing Census, 2008

Table 1-46: Five Year Age Groups by Sex. Ayod County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 139282 100 78872 100 60410 100 0 to 4 16886 12.1 9777 12.4 7109 11.8 5 to 9 19255 13.8 11296 14.3 7959 13.2 10 to 14 18653 13.4 11239 14.2 7414 12.3 15 to 19 16039 11.5 9428 12.0 6611 10.9 20 to 24 13742 9.9 7837 9.9 5905 9.8 25 to 29 11873 8.5 6174 7.8 5699 9.4 30 to 34 9602 6.9 4628 5.9 4974 8.2 35 to 39 7574 5.4 3817 4.8 3757 6.2 40 to 44 6774 4.9 3370 4.3 3404 5.6 45 to 49 5076 3.6 2802 3.6 2274 3.8 50 to 54 4218 3.0 2365 3.0 1853 3.1 55 to 59 2565 1.8 1523 1.9 1042 1.7 60 to 64 2532 1.8 1619 2.1 913 1.5 65+ 4493 3.2 2997 3.8 1496 2.5 Source: 5th Sudan Population and Housing Census, 2008

35 Table 1-47: Five Year Age Groups by Sex. Duk County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 65588 100 34957 100 30631 100 0 to 4 11183 17.1 6110 17.5 5073 16.6 5 to 9 10600 16.2 5896 16.9 4704 15.4 10 to 14 7953 12.1 4463 12.8 3490 11.4 15 to 19 6214 9.5 3438 9.8 2776 9.1 20 to 24 5614 8.6 2662 7.6 2952 9.6 25 to 29 5794 8.8 2751 7.9 3043 9.9 30 to 34 4904 7.5 2313 6.6 2591 8.5 35 to 39 3766 5.7 1954 5.6 1812 5.9 40 to 44 2800 4.3 1450 4.1 1350 4.4 45 to 49 1951 3.0 1132 3.2 819 2.7 50 to 54 1576 2.4 881 2.5 695 2.3 55 to 59 799 1.2 479 1.4 320 1.0 60 to 64 942 1.4 514 1.5 428 1.4 65+ 1492 2.3 914 2.6 578 1.9 Source: 5th Sudan Population and Housing Census, 2008

Table 1-48: Five Year Age Groups by Sex. Uror County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 178519 100 99276 100 79243 100 0 to 4 27722 15.5 16173 16.3 11549 14.6 5 to 9 30102 16.9 17618 17.7 12484 15.8 10 to 14 24474 13.7 14486 14.6 9988 12.6 15 to 19 19717 11.0 11255 11.3 8462 10.7 20 to 24 16305 9.1 8744 8.8 7561 9.5 25 to 29 13200 7.4 6198 6.2 7002 8.8 30 to 34 11091 6.2 5117 5.2 5974 7.5 35 to 39 9511 5.3 4590 4.6 4921 6.2 40 to 44 7529 4.2 3542 3.6 3987 5.0 45 to 49 6056 3.4 3339 3.4 2717 3.4 50 to 54 4220 2.4 2385 2.4 1835 2.3 55 to 59 2243 1.3 1450 1.5 793 1.0 60 to 64 2268 1.3 1453 1.5 815 1.0 65+ 4081 2.3 2926 2.9 1155 1.5 Source: 5th Sudan Population and Housing Census, 2008

Table 1-49: Five Year Age Groups by Sex. Nyirol County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 108674 100 60567 100 48107 100 0 to 4 16961 15.6 10145 16.8 6816 14.2 5 to 9 17528 16.1 10412 17.2 7116 14.8 10 to 14 14565 13.4 8482 14.0 6083 12.6 15 to 19 12411 11.4 6748 11.1 5663 11.8 20 to 24 9829 9.0 4789 7.9 5040 10.5 25 to 29 8316 7.7 3876 6.4 4440 9.2 30 to 34 6653 6.1 3054 5.0 3599 7.5 35 to 39 5822 5.4 2910 4.8 2912 6.1 40 to 44 4284 3.9 2139 3.5 2145 4.5 45 to 49 3580 3.3 2093 3.5 1487 3.1 50 to 54 2702 2.5 1641 2.7 1061 2.2 55 to 59 1465 1.3 1012 1.7 453 0.9 60 to 64 1704 1.6 1165 1.9 539 1.1 65+ 2854 2.6 2101 3.5 753 1.6 Source: 5th Sudan Population and Housing Census, 2008

36 Table 1-50: Five Year Age Groups by Sex. Akobo County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 136210 100 75314 100 60896 100 0 to 4 18877 13.9 11042 14.7 7835 12.9 5 to 9 21404 15.7 12430 16.5 8974 14.7 10 to 14 19415 14.3 11380 15.1 8035 13.2 15 to 19 16738 12.3 9722 12.9 7016 11.5 20 to 24 11839 8.7 6279 8.3 5560 9.1 25 to 29 9992 7.3 4928 6.5 5064 8.3 30 to 34 8292 6.1 3845 5.1 4447 7.3 35 to 39 7421 5.4 3421 4.5 4000 6.6 40 to 44 5883 4.3 2820 3.7 3063 5.0 45 to 49 4819 3.5 2584 3.4 2235 3.7 50 to 54 3750 2.8 2067 2.7 1683 2.8 55 to 59 1924 1.4 1109 1.5 815 1.3 60 to 64 2206 1.6 1371 1.8 835 1.4 65+ 3650 2.7 2316 3.1 1334 2.2 Source: 5th Sudan Population and Housing Census, 2008

Table 1-51: Five Year Age Groups by Sex. Pochalla County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 66201 100 34474 100 31727 100 0 to 4 9698 14.6 5388 15.6 4310 13.6 5 to 9 11340 17.1 6241 18.1 5099 16.1 10 to 14 10007 15.1 5529 16.0 4478 14.1 15 to 19 7954 12.0 4218 12.2 3736 11.8 20 to 24 5163 7.8 2391 6.9 2772 8.7 25 to 29 4672 7.1 1815 5.3 2857 9.0 30 to 34 4631 7.0 1960 5.7 2671 8.4 35 to 39 3711 5.6 1756 5.1 1955 6.2 40 to 44 3100 4.7 1611 4.7 1489 4.7 45 to 49 2015 3.0 1146 3.3 869 2.7 50 to 54 1527 2.3 852 2.5 675 2.1 55 to 59 675 1.0 394 1.1 281 0.9 60 to 64 727 1.1 469 1.4 258 0.8 65+ 981 1.5 704 2.0 277 0.9 Source: 5th Sudan Population and Housing Census, 2008

Table 1-52: Five Year Age Groups by Sex. Pibor County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 148475 100 76018 100 72457 100 0 to 4 23516 15.8 12274 16.1 11242 15.5 5 to 9 24448 16.5 12995 17.1 11453 15.8 10 to 14 19863 13.4 10464 13.8 9399 13.0 15 to 19 16407 11.1 8244 10.8 8163 11.3 20 to 24 13258 8.9 6014 7.9 7244 10.0 25 to 29 11770 7.9 5128 6.7 6642 9.2 30 to 34 9696 6.5 4333 5.7 5363 7.4 35 to 39 8649 5.8 4351 5.7 4298 5.9 40 to 44 6032 4.1 3081 4.1 2951 4.1 45 to 49 4601 3.1 2678 3.5 1923 2.7 50 to 54 3393 2.3 2029 2.7 1364 1.9 55 to 59 1911 1.3 1265 1.7 646 0.9 60 to 64 1945 1.3 1293 1.7 652 0.9 65+ 2986 2.0 1869 2.5 1117 1.5 Source: 5th Sudan Population and Housing Census, 2008

37 Table 1-53: Five Year Age Groups by Sex. Twic East County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 85349 100 44039 100 41310 100 0 to 4 13599 15.9 7161 16.3 6438 15.6 5 to 9 13283 15.6 7099 16.1 6184 15.0 10 to 14 11000 12.9 5964 13.5 5036 12.2 15 to 19 7853 9.2 4213 9.6 3640 8.8 20 to 24 7933 9.3 3792 8.6 4141 10.0 25 to 29 7423 8.7 3842 8.7 3581 8.7 30 to 34 5826 6.8 2899 6.6 2927 7.1 35 to 39 4393 5.1 2077 4.7 2316 5.6 40 to 44 3241 3.8 1485 3.4 1756 4.3 45 to 49 2699 3.2 1274 2.9 1425 3.4 50 to 54 2490 2.9 1184 2.7 1306 3.2 55 to 59 1344 1.6 727 1.7 617 1.5 60 to 64 1589 1.9 820 1.9 769 1.9 65+ 2676 3.1 1502 3.4 1174 2.8 Source: 5th Sudan Population and Housing Census, 2008

Table 1-54: Five Year Age Groups by Sex. Bor South County, Jonglei State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 221106 100 116186 100 104920 100 0 to 4 33964 15.4 18117 15.6 15847 15.1 5 to 9 33255 15.0 17819 15.3 15436 14.7 10 to 14 27362 12.4 14747 12.7 12615 12.0 15 to 19 22535 10.2 12061 10.4 10474 10.0 20 to 24 20724 9.4 10444 9.0 10280 9.8 25 to 29 20268 9.2 10059 8.7 10209 9.7 30 to 34 15759 7.1 8042 6.9 7717 7.4 35 to 39 12655 5.7 6441 5.5 6214 5.9 40 to 44 9069 4.1 4558 3.9 4511 4.3 45 to 49 7473 3.4 3916 3.4 3557 3.4 50 to 54 5871 2.7 3164 2.7 2707 2.6 55 to 59 3498 1.6 1928 1.7 1570 1.5 60 to 64 3352 1.5 1852 1.6 1500 1.4 65+ 5321 2.4 3038 2.6 2283 2.2 Source: 5th Sudan Population and Housing Census, 2008

Table 1-55: Five Year Age Groups by Sex. Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 585801 100 300247 100 285554 100 0 to 4 108357 18.5 56916 19.0 51441 18.0 5 to 9 99604 17.0 52077 17.3 47527 16.6 10 to 14 76111 13.0 40264 13.4 35847 12.6 15 to 19 59342 10.1 30359 10.1 28983 10.1 20 to 24 49849 8.5 24162 8.0 25687 9.0 25 to 29 45101 7.7 22030 7.3 23071 8.1 30 to 34 34200 5.8 16121 5.4 18079 6.3 35 to 39 28967 4.9 14617 4.9 14350 5.0 40 to 44 20504 3.5 9702 3.2 10802 3.8 45 to 49 17887 3.1 9772 3.3 8115 2.8 50 to 54 12904 2.2 6571 2.2 6333 2.2 55 to 59 8077 1.4 4497 1.5 3580 1.3 60 to 64 8098 1.4 4160 1.4 3938 1.4 65+ 16800 2.9 8999 3.0 7801 2.7 Source: 5th Sudan Population and Housing Census, 2008

38 Table 1-56: Five Year Age Groups by Sex. Pariang County, Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 82443 100 43108 100 39335 100 0 to 4 12031 14.6 6490 15.1 5541 14.1 5 to 9 13423 16.3 7220 16.7 6203 15.8 10 to 14 11444 13.9 6280 14.6 5164 13.1 15 to 19 9587 11.6 5002 11.6 4585 11.7 20 to 24 7926 9.6 3910 9.1 4016 10.2 25 to 29 6511 7.9 3090 7.2 3421 8.7 30 to 34 5633 6.8 2658 6.2 2975 7.6 35 to 39 4418 5.4 2221 5.2 2197 5.6 40 to 44 3309 4.0 1519 3.5 1790 4.6 45 to 49 2394 2.9 1276 3.0 1118 2.8 50 to 54 1976 2.4 1004 2.3 972 2.5 55 to 59 1006 1.2 619 1.4 387 1.0 60 to 64 1061 1.3 673 1.6 388 1.0 65+ 1724 2.1 1146 2.7 578 1.5 Source: 5th Sudan Population and Housing Census, 2008

Table 1-57: Five Year Age Groups by Sex. Abiemnhom County, Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 17012 100 9487 100 7525 100 0 to 4 2398 14.1 1341 14.1 1057 14.0 5 to 9 2567 15.1 1359 14.3 1208 16.1 10 to 14 2055 12.1 1134 12 921 12.2 15 to 19 1864 11 1012 10.7 852 11.3 20 to 24 1651 9.7 892 9.4 759 10.1 25 to 29 1621 9.5 883 9.3 738 9.8 30 to 34 1235 7.3 700 7.4 535 7.1 35 to 39 1035 6.1 650 6.9 385 5.1 40 to 44 669 3.9 411 4.3 258 3.4 45 to 49 587 3.5 341 3.6 246 3.3 50 to 54 375 2.2 215 2.3 160 2.1 55 to 59 226 1.3 133 1.4 93 1.2 60 to 64 242 1.4 138 1.5 104 1.4 65+ 487 2.9 278 2.9 209 2.8 Source: 5th Sudan Population and Housing Census, 2008

Table 1-58: Five Year Age Groups by Sex. Mayom County, Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 120715 100 58380 100 62335 100 0 to 4 24642 20.4 12504 21.4 12138 19.5 5 to 9 21653 17.9 10901 18.7 10752 17.2 10 to 14 15494 12.8 7842 13.4 7652 12.3 15 to 19 11373 9.4 5413 9.3 5960 9.6 20 to 24 9400 7.8 4042 6.9 5358 8.6 25 to 29 8541 7.1 3891 6.7 4650 7.5 30 to 34 6135 5.1 2585 4.4 3550 5.7 35 to 39 5414 4.5 2508 4.3 2906 4.7 40 to 44 4375 3.6 1738 3.0 2637 4.2 45 to 49 3747 3.1 1894 3.2 1853 3.0 50 to 54 2835 2.3 1370 2.3 1465 2.4 55 to 59 1574 1.3 834 1.4 740 1.2 60 to 64 1831 1.5 909 1.6 922 1.5 65+ 3701 3.1 1949 3.3 1752 2.8 Source: 5th Sudan Population and Housing Census, 2008

39 Table 1-59: Five Year Age Groups by Sex. Rubkone County, Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 100236 100 51630 100 48606 100 0 to 4 19397 19.4 10035 19.4 9362 19.3 5 to 9 16042 16.0 8324 16.1 7718 15.9 10 to 14 11014 11.0 5703 11.0 5311 10.9 15 to 19 9517 9.5 4886 9.5 4631 9.5 20 to 24 9211 9.2 4640 9.0 4571 9.4 25 to 29 8751 8.7 4528 8.8 4223 8.7 30 to 34 6443 6.4 3218 6.2 3225 6.6 35 to 39 5268 5.3 2825 5.5 2443 5.0 40 to 44 3591 3.6 1751 3.4 1840 3.8 45 to 49 2973 3.0 1616 3.1 1357 2.8 50 to 54 2222 2.2 1150 2.2 1072 2.2 55 to 59 1574 1.6 859 1.7 715 1.5 60 to 64 1401 1.4 677 1.3 724 1.5 65+ 2832 2.8 1418 2.7 1414 2.9 Source: 5th Sudan Population and Housing Census, 2008

Table 1-60: Five Year Age Groups by Sex. Guit County, Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 33004 100 18409 100 14595 100 0 to 4 5355 16.2 2867 15.6 2488 17.0 5 to 9 4784 14.5 2480 13.5 2304 15.8 10 to 14 3975 12.0 2174 11.8 1801 12.3 15 to 19 3363 10.2 1741 9.5 1622 11.1 20 to 24 3130 9.5 1864 10.1 1266 8.7 25 to 29 3229 9.8 1963 10.7 1266 8.7 30 to 34 2338 7.1 1365 7.4 973 6.7 35 to 39 1945 5.9 1123 6.1 822 5.6 40 to 44 1309 4.0 740 4.0 569 3.9 45 to 49 1147 3.5 709 3.9 438 3.0 50 to 54 690 2.1 378 2.1 312 2.1 55 to 59 514 1.6 323 1.8 191 1.3 60 to 64 420 1.3 224 1.2 196 1.3 65+ 805 2.4 458 2.5 347 2.4 Source: 5th Sudan Population and Housing Census, 2008

Table 1-61: Five Year Age Groups by Sex. Koch County, Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 74863 100 40254 100 34609 100 0 to 4 13582 18.1 7427 18.5 6155 17.8 5 to 9 13500 18.0 7523 18.7 5977 17.3 10 to 14 10611 14.2 5882 14.6 4729 13.7 15 to 19 7566 10.1 4035 10.0 3531 10.2 20 to 24 6054 8.1 2999 7.5 3055 8.8 25 to 29 4868 6.5 2326 5.8 2542 7.3 30 to 34 4171 5.6 1983 4.9 2188 6.3 35 to 39 3751 5.0 1916 4.8 1835 5.3 40 to 44 2455 3.3 1291 3.2 1164 3.4 45 to 49 2412 3.2 1479 3.7 933 2.7 50 to 54 1550 2.1 866 2.2 684 2.0 55 to 59 991 1.3 624 1.6 367 1.1 60 to 64 1109 1.5 603 1.5 506 1.5 65+ 2243 3.0 1300 3.2 943 2.7 Source: 5th Sudan Population and Housing Census, 2008

40 Table 1-62: Five Year Age Groups by Sex. Leer County, Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 53022 100 26027 100 26995 100 0 to 4 10560 19.9 5481 21.1 5079 18.8 5 to 9 9186 17.3 4605 17.7 4581 17.0 10 to 14 7089 13.4 3646 14.0 3443 12.8 15 to 19 5396 10.2 2665 10.2 2731 10.1 20 to 24 4213 7.9 1998 7.7 2215 8.2 25 to 29 3617 6.8 1601 6.2 2016 7.5 30 to 34 2639 5.0 1162 4.5 1477 5.5 35 to 39 2571 4.8 1202 4.6 1369 5.1 40 to 44 1585 3.0 792 3.0 793 2.9 45 to 49 1616 3.0 824 3.2 792 2.9 50 to 54 1086 2.0 490 1.9 596 2.2 55 to 59 756 1.4 376 1.4 380 1.4 60 to 64 705 1.3 282 1.1 423 1.6 65+ 2003 3.8 903 3.5 1100 4.1 Source: 5th Sudan Population and Housing Census, 2008

Table 1-63: Five Year Age Groups by Sex. Mayendit County, Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 53783 100 28444 100 25339 100 0 to 4 9498 17.7 5108 18.0 4390 17.3 5 to 9 9265 17.2 4991 17.5 4274 16.9 10 to 14 7659 14.2 4221 14.8 3438 13.6 15 to 19 6237 11.6 3419 12.0 2818 11.1 20 to 24 4717 8.8 2357 8.3 2360 9.3 25 to 29 3920 7.3 1846 6.5 2074 8.2 30 to 34 2985 5.6 1348 4.7 1637 6.5 35 to 39 2461 4.6 1220 4.3 1241 4.9 40 to 44 1746 3.2 851 3.0 895 3.5 45 to 49 1648 3.1 979 3.4 669 2.6 50 to 54 1139 2.1 618 2.2 521 2.1 55 to 59 668 1.2 378 1.3 290 1.1 60 to 64 642 1.2 357 1.3 285 1.1 65+ 1198 2.2 751 2.6 447 1.8 Source: 5th Sudan Population and Housing Census, 2008

Table 1-64: Five Year Age Groups by Sex. Panyijiar County, Unity State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 50723 100 24508 100 26215 100 0 to 4 10894 21.5 5663 23.1 5231 20.0 5 to 9 9184 18.1 4674 19.1 4510 17.2 10 to 14 6770 13.3 3382 13.8 3388 12.9 15 to 19 4439 8.8 2186 8.9 2253 8.6 20 to 24 3547 7.0 1460 6.0 2087 8.0 25 to 29 4043 8.0 1902 7.8 2141 8.2 30 to 34 2621 5.2 1102 4.5 1519 5.8 35 to 39 2104 4.1 952 3.9 1152 4.4 40 to 44 1465 2.9 609 2.5 856 3.3 45 to 49 1363 2.7 654 2.7 709 2.7 50 to 54 1031 2.0 480 2.0 551 2.1 55 to 59 768 1.5 351 1.4 417 1.6 60 to 64 687 1.4 297 1.2 390 1.5 65+ 1807 3.6 796 3.2 1011 3.9 Source: 5th Sudan Population and Housing Census, 2008

41 Table 1-65: Five Year Age Groups by Sex. Warrap State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 972928 100 470734 100 502194 100 0 to 4 169599 17.4 86690 18.4 82909 16.5 5 to 9 160305 16.5 81314 17.3 78991 15.7 10 to 14 123695 12.7 62850 13.4 60845 12.1 15 to 19 95603 9.8 44951 9.5 50652 10.1 20 to 24 79790 8.2 34342 7.3 45448 9.0 25 to 29 81025 8.3 34624 7.4 46401 9.2 30 to 34 61243 6.3 25922 5.5 35321 7.0 35 to 39 58293 6.0 27252 5.8 31041 6.2 40 to 44 38184 3.9 18350 3.9 19834 3.9 45 to 49 33469 3.4 17408 3.7 16061 3.2 50 to 54 21800 2.2 10819 2.3 10981 2.2 55 to 59 14709 1.5 7694 1.6 7015 1.4 60 to 64 12243 1.3 6173 1.3 6070 1.2 65+ 22970 2.4 12345 2.6 10625 2.1 Source: 5th Sudan Population and Housing Census, 2008

Table 1-66: Five Year Age Groups by Sex. Abyei County, Warrap State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 52883 100 27069 100 25814 100 0 to 4 8732 16.5 4458 16.5 4274 16.6 5 to 9 8297 15.7 4220 15.6 4077 15.8 10 to 14 6596 12.5 3505 12.9 3091 12.0 15 to 19 5357 10.1 2821 10.4 2536 9.8 20 to 24 4456 8.4 2262 8.4 2194 8.5 25 to 29 4426 8.4 2148 7.9 2278 8.8 30 to 34 3387 6.4 1705 6.3 1682 6.5 35 to 39 3133 5.9 1560 5.8 1573 6.1 40 to 44 2166 4.1 1050 3.9 1116 4.3 45 to 49 1761 3.3 901 3.3 860 3.3 50 to 54 1435 2.7 732 2.7 703 2.7 55 to 59 833 1.6 484 1.8 349 1.4 60 to 64 763 1.4 377 1.4 386 1.5 65+ 1541 2.9 846 3.1 695 2.7 Source: 5th Sudan Population and Housing Census, 2008

Table 1-67: Five Year Age Groups by Sex. Twic County, Warrap State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 204905 100 99663 100 105242 100 0 to 4 35027 17.1 18040 18.1 16987 16.1 5 to 9 35264 17.2 18178 18.2 17086 16.2 10 to 14 28103 13.7 14372 14.4 13731 13.0 15 to 19 21084 10.3 10152 10.2 10932 10.4 20 to 24 16570 8.1 7469 7.5 9101 8.6 25 to 29 15769 7.7 6503 6.5 9266 8.8 30 to 34 12154 5.9 4952 5.0 7202 6.8 35 to 39 10843 5.3 4888 4.9 5955 5.7 40 to 44 7221 3.5 3370 3.4 3851 3.7 45 to 49 6221 3.0 3177 3.2 3044 2.9 50 to 54 4674 2.3 2290 2.3 2384 2.3 55 to 59 2856 1.4 1499 1.5 1357 1.3 60 to 64 2970 1.4 1482 1.5 1488 1.4 65+ 6149 3.0 3291 3.3 2858 2.7 Source: 5th Sudan Population and Housing Census, 2008

42 Table 1-68: Five Year Age Groups by Sex. Gogrial West County, Warrap State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 243921 100 116994 100 126927 100 0 to 4 43406 17.8 22182 19.0 21224 16.7 5 to 9 38962 16.0 19453 16.6 19509 15.4 10 to 14 27754 11.4 14015 12.0 13739 10.8 15 to 19 22114 9.1 10042 8.6 12072 9.5 20 to 24 21732 8.9 8848 7.6 12884 10.2 25 to 29 21028 8.6 9097 7.8 11931 9.4 30 to 34 15422 6.3 6761 5.8 8661 6.8 35 to 39 15225 6.2 7359 6.3 7866 6.2 40 to 44 9247 3.8 4498 3.8 4749 3.7 45 to 49 8924 3.7 4590 3.9 4334 3.4 50 to 54 5570 2.3 2671 2.3 2899 2.3 55 to 59 4290 1.8 2179 1.9 2111 1.7 60 to 64 3352 1.4 1659 1.4 1693 1.3 65+ 6895 2.8 3640 3.1 3255 2.6 Source: 5th Sudan Population and Housing Census, 2008

Table 1-69: Five Year Age Groups by Sex. Gogrial East County, Warrap State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 103283 100 49123 100 54160 100 0 to 4 18749 18.2 9567 19.5 9182 17.0 5 to 9 16356 15.8 8255 16.8 8101 15.0 10 to 14 13183 12.8 6689 13.6 6494 12.0 15 to 19 10720 10.4 4769 9.7 5951 11.0 20 to 24 8028 7.8 3298 6.7 4730 8.7 25 to 29 8558 8.3 3652 7.4 4906 9.1 30 to 34 6843 6.6 2753 5.6 4090 7.6 35 to 39 6423 6.2 2921 5.9 3502 6.5 40 to 44 4171 4.0 2016 4.1 2155 4.0 45 to 49 3678 3.6 1952 4.0 1726 3.2 50 to 54 2090 2.0 1026 2.1 1064 2.0 55 to 59 1349 1.3 694 1.4 655 1.2 60 to 64 1112 1.1 531 1.1 581 1.1 65+ 2023 2.0 1000 2.0 1023 1.9 Source: 5th Sudan Population and Housing Census, 2008

Table 1-70: Five Year Age Groups by Sex. Tonj North County, Warrap State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 165222 100 77989 100 87233 100 0 to 4 29026 17.6 14624 18.8 14402 16.5 5 to 9 27110 16.4 13580 17.4 13530 15.5 10 to 14 21675 13.1 10821 13.9 10854 12.4 15 to 19 16964 10.3 7753 9.9 9211 10.6 20 to 24 12663 7.7 5266 6.8 7397 8.5 25 to 29 14460 8.8 5886 7.5 8574 9.8 30 to 34 10299 6.2 4074 5.2 6225 7.1 35 to 39 10307 6.2 4606 5.9 5701 6.5 40 to 44 6573 4.0 3117 4.0 3456 4.0 45 to 49 5890 3.6 3052 3.9 2838 3.3 50 to 54 3549 2.1 1750 2.2 1799 2.1 55 to 59 2565 1.6 1318 1.7 1247 1.4 60 to 64 1564 0.9 783 1.0 781 0.9 65+ 2577 1.6 1359 1.7 1218 1.4 Source: 5th Sudan Population and Housing Census, 2008

43 Table 1-71: Five Year Age Groups by Sex. Tonj East County, Warrap State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 116122 100 56547 100 59575 100 0 to 4 18921 16.3 9828 17.4 9093 15.3 5 to 9 19961 17.2 10185 18.0 9776 16.4 10 to 14 15810 13.6 7949 14.1 7861 13.2 15 to 19 11610 10.0 5549 9.8 6061 10.2 20 to 24 9285 8.0 3919 6.9 5366 9.0 25 to 29 9104 7.8 3842 6.8 5262 8.8 30 to 34 7422 6.4 3072 5.4 4350 7.3 35 to 39 7014 6.0 3272 5.8 3742 6.3 40 to 44 5158 4.4 2466 4.4 2692 4.5 45 to 49 3918 3.4 2059 3.6 1859 3.1 50 to 54 2676 2.3 1415 2.5 1261 2.1 55 to 59 1557 1.3 875 1.5 682 1.1 60 to 64 1570 1.4 838 1.5 732 1.2 65+ 2116 1.8 1278 2.3 838 1.4 Source: 5th Sudan Population and Housing Census, 2008

Table 1-72: Five Year Age Groups by Sex. Tonj South County, Warrap State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 86592 100 43349 100 43243 100 0 to 4 15738 18.2 7991 18.4 7747 17.9 5 to 9 14355 16.6 7443 17.2 6912 16.0 10 to 14 10574 12.2 5499 12.7 5075 11.7 15 to 19 7754 9.0 3865 8.9 3889 9.0 20 to 24 7056 8.1 3280 7.6 3776 8.7 25 to 29 7680 8.9 3496 8.1 4184 9.7 30 to 34 5716 6.6 2605 6.0 3111 7.2 35 to 39 5348 6.2 2646 6.1 2702 6.2 40 to 44 3648 4.2 1833 4.2 1815 4.2 45 to 49 3077 3.6 1677 3.9 1400 3.2 50 to 54 1806 2.1 935 2.2 871 2.0 55 to 59 1259 1.5 645 1.5 614 1.4 60 to 64 912 1.1 503 1.2 409 0.9 65+ 1669 1.9 931 2.1 738 1.7 Source: 5th Sudan Population and Housing Census, 2008

Table 1-73: Five Year Age Groups by Sex. Northern Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 720898 100 348290 100 372608 100 0 to 4 136520 18.9 70011 20.1 66509 17.8 5 to 9 124955 17.3 63300 18.2 61655 16.5 10 to 14 82164 11.4 42046 12.1 40118 10.8 15 to 19 61027 8.5 28934 8.3 32093 8.6 20 to 24 55209 7.7 22604 6.5 32605 8.8 25 to 29 55021 7.6 22344 6.4 32677 8.8 30 to 34 42658 5.9 18761 5.4 23897 6.4 35 to 39 41334 5.7 19371 5.6 21963 5.9 40 to 44 28418 3.9 13301 3.8 15117 4.1 45 to 49 24744 3.4 12963 3.7 11781 3.2 50 to 54 18501 2.6 9019 2.6 9482 2.5 55 to 59 12603 1.7 6330 1.8 6273 1.7 60 to 64 11636 1.6 5783 1.7 5853 1.6 65+ 26108 3.6 13523 3.9 12585 3.4 Source: 5th Sudan Population and Housing Census, 2008

44 Table 1-74: Five Year Age Groups by Sex. Aweil North County, Northern Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 129127 100 60697 100 68430 100 0 to 4 26198 20.3 13306 21.9 12892 18.8 5 to 9 23462 18.2 11764 19.4 11698 17.1 10 to 14 15522 12.0 7893 13.0 7629 11.1 15 to 19 10457 8.1 4933 8.1 5524 8.1 20 to 24 7870 6.1 2941 4.8 4929 7.2 25 to 29 8423 6.5 2961 4.9 5462 8.0 30 to 34 7031 5.4 2826 4.7 4205 6.1 35 to 39 6185 4.8 2830 4.7 3355 4.9 40 to 44 5020 3.9 2091 3.4 2929 4.3 45 to 49 4019 3.1 1993 3.3 2026 3.0 50 to 54 3898 3.0 1724 2.8 2174 3.2 55 to 59 2191 1.7 1077 1.8 1114 1.6 60 to 64 2483 1.9 1190 2.0 1293 1.9 65+ 6368 4.9 3168 5.2 3200 4.7 Source: 5th Sudan Population and Housing Census, 2008

Table 1-75: Five Year Age Groups by Sex. Aweil East County, Northern Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 309921 100 147821 100 162100 100 0 to 4 59574 19.2 30610 20.7 28964 17.9 5 to 9 56236 18.1 28342 19.2 27894 17.2 10 to 14 33517 10.8 16974 11.5 16543 10.2 15 to 19 24584 7.9 11424 7.7 13160 8.1 20 to 24 23083 7.4 8993 6.1 14090 8.7 25 to 29 23291 7.5 8984 6.1 14307 8.8 30 to 34 18278 5.9 7711 5.2 10567 6.5 35 to 39 18747 6.0 8446 5.7 10301 6.4 40 to 44 11794 3.8 5428 3.7 6366 3.9 45 to 49 11162 3.6 5868 4.0 5294 3.3 50 to 54 7997 2.6 3929 2.7 4068 2.5 55 to 59 5630 1.8 2846 1.9 2784 1.7 60 to 64 5052 1.6 2514 1.7 2538 1.6 65+ 10976 3.5 5752 3.9 5224 3.2 Source: 5th Sudan Population and Housing Census, 2008

Table 1-76: Five Year Age Groups by Sex. Aweil South County, Northern Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 73806 100 34525 100 39281 100 0 to 4 14560 19.7 7322 21.2 7238 18.4 5 to 9 11890 16.1 6028 17.5 5862 14.9 10 to 14 8050 10.9 3921 11.4 4129 10.5 15 to 19 5704 7.7 2300 6.7 3404 8.7 20 to 24 6534 8.9 2577 7.5 3957 10.1 25 to 29 5714 7.7 2325 6.7 3389 8.6 30 to 34 4111 5.6 1840 5.3 2271 5.8 35 to 39 4073 5.5 1873 5.4 2200 5.6 40 to 44 3171 4.3 1455 4.2 1716 4.4 45 to 49 2496 3.4 1270 3.7 1226 3.1 50 to 54 1710 2.3 840 2.4 870 2.2 55 to 59 1536 2.1 696 2.0 840 2.1 60 to 64 1277 1.7 605 1.8 672 1.7 65+ 2980 4.0 1473 4.3 1507 3.8 Source: 5th Sudan Population and Housing Census, 2008

45 Table 1-77: Five Year Age Groups by Sex. Aweil West County, Northern Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 166217 100 83048 100 83169 100 0 to 4 29574 17.8 15268 18.4 14306 17.2 5 to 9 27353 16.5 13821 16.6 13532 16.3 10 to 14 20430 12.3 10725 12.9 9705 11.7 15 to 19 15949 9.6 8227 9.9 7722 9.3 20 to 24 13624 8.2 6253 7.5 7371 8.9 25 to 29 13979 8.4 6302 7.6 7677 9.2 30 to 34 10192 6.1 4839 5.8 5353 6.4 35 to 39 9694 5.8 4747 5.7 4947 5.9 40 to 44 6314 3.8 3103 3.7 3211 3.9 45 to 49 5709 3.4 2982 3.6 2727 3.3 50 to 54 3880 2.3 1917 2.3 1963 2.4 55 to 59 2677 1.6 1355 1.6 1322 1.6 60 to 64 2219 1.3 1107 1.3 1112 1.3 65+ 4623 2.8 2402 2.9 2221 2.7 Source: 5th Sudan Population and Housing Census, 2008

Table 1-78: Five Year Age Groups by Sex. Aweil Centre County, Northern Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 41827 100 22199 100 19628 100 0 to 4 6614 15.8 3505 15.8 3109 15.8 5 to 9 6014 14.4 3345 15.1 2669 13.6 10 to 14 4645 11.1 2533 11.4 2112 10.8 15 to 19 4333 10.4 2050 9.2 2283 11.6 20 to 24 4098 9.8 1840 8.3 2258 11.5 25 to 29 3614 8.6 1772 8.0 1842 9.4 30 to 34 3046 7.3 1545 7.0 1501 7.6 35 to 39 2635 6.3 1475 6.6 1160 5.9 40 to 44 2119 5.1 1224 5.5 895 4.6 45 to 49 1358 3.2 850 3.8 508 2.6 50 to 54 1016 2.4 609 2.7 407 2.1 55 to 59 569 1.4 356 1.6 213 1.1 60 to 64 605 1.4 367 1.7 238 1.2 65+ 1161 2.8 728 3.3 433 2.2 Source: 5th Sudan Population and Housing Census, 2008

Table 1-79: Five Year Age Groups by Sex. Western Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 333431 100 177040 100 156391 100 0 to 4 53967 16.2 28012 15.8 25955 16.6 5 to 9 50330 15.1 26270 14.8 24060 15.4 10 to 14 37417 11.2 20139 11.4 17278 11.0 15 to 19 33702 10.1 17844 10.1 15858 10.1 20 to 24 31789 9.5 16258 9.2 15531 9.9 25 to 29 31740 9.5 16572 9.4 15168 9.7 30 to 34 23264 7.0 12496 7.1 10768 6.9 35 to 39 21213 6.4 11762 6.6 9451 6.0 40 to 44 14564 4.4 8171 4.6 6393 4.1 45 to 49 11297 3.4 6374 3.6 4923 3.1 50 to 54 7390 2.2 3990 2.3 3400 2.2 55 to 59 4813 1.4 2643 1.5 2170 1.4 60 to 64 4247 1.3 2338 1.3 1909 1.2 65+ 7698 2.3 4171 2.4 3527 2.3 Source: 5th Sudan Population and Housing Census, 2008

46 Table 1-80: Five Year Age Groups by Sex. Raga County, Western Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 54340 100 28182 100 26158 100 0 to 4 9344 17.2 4762 16.9 4582 17.5 5 to 9 8726 16.1 4453 15.8 4273 16.3 10 to 14 5878 10.8 3076 10.9 2802 10.7 15 to 19 5228 9.6 2590 9.2 2638 10.1 20 to 24 4893 9.0 2314 8.2 2579 9.9 25 to 29 5291 9.7 2662 9.4 2629 10.1 30 to 34 3675 6.8 2071 7.3 1604 6.1 35 to 39 3441 6.3 1981 7.0 1460 5.6 40 to 44 2130 3.9 1171 4.2 959 3.7 45 to 49 1797 3.3 1000 3.5 797 3.0 50 to 54 1144 2.1 582 2.1 562 2.1 55 to 59 693 1.3 388 1.4 305 1.2 60 to 64 731 1.3 402 1.4 329 1.3 65+ 1369 2.5 730 2.6 639 2.4 Source: 5th Sudan Population and Housing Census, 2008

Table 1-81: Five Year Age Groups by Sex. Jur River County, Western Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 127771 100 68077 100 59694 100 0 to 4 20885 16.3 10914 16.0 9971 16.7 5 to 9 19760 15.5 10509 15.4 9251 15.5 10 to 14 14621 11.4 7944 11.7 6677 11.2 15 to 19 12749 10.0 6865 10.1 5884 9.9 20 to 24 11916 9.3 6105 9.0 5811 9.7 25 to 29 12398 9.7 6439 9.5 5959 10.0 30 to 34 9334 7.3 4887 7.2 4447 7.4 35 to 39 8038 6.3 4310 6.3 3728 6.2 40 to 44 5805 4.5 3207 4.7 2598 4.4 45 to 49 4181 3.3 2390 3.5 1791 3.0 50 to 54 2661 2.1 1483 2.2 1178 2.0 55 to 59 1690 1.3 916 1.3 774 1.3 60 to 64 1353 1.1 789 1.2 564 0.9 65+ 2380 1.9 1319 1.9 1061 1.8 Source: 5th Sudan Population and Housing Census, 2008

Table 1-82: Five Year Age Groups by Sex. Wau County, Western Bahr El Ghazal State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 151320 100 80781 100 70539 100 0 to 4 23738 15.7 12336 15.3 11402 16.2 5 to 9 21844 14.4 11308 14.0 10536 14.9 10 to 14 16918 11.2 9119 11.3 7799 11.1 15 to 19 15725 10.4 8389 10.4 7336 10.4 20 to 24 14980 9.9 7839 9.7 7141 10.1 25 to 29 14051 9.3 7471 9.2 6580 9.3 30 to 34 10255 6.8 5538 6.9 4717 6.7 35 to 39 9734 6.4 5471 6.8 4263 6.0 40 to 44 6629 4.4 3793 4.7 2836 4.0 45 to 49 5319 3.5 2984 3.7 2335 3.3 50 to 54 3585 2.4 1925 2.4 1660 2.4 55 to 59 2430 1.6 1339 1.7 1091 1.5 60 to 64 2163 1.4 1147 1.4 1016 1.4 65+ 3949 2.6 2122 2.6 1827 2.6 Source: 5th Sudan Population and Housing Census, 2008

47 Table 1-83: Five Year Age Groups by Sex. Lakes State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 695730 100 365880 100 329850 100 0 to 4 106232 15.3 55608 15.2 50624 15.3 5 to 9 109096 15.7 57417 15.7 51679 15.7 10 to 14 88658 12.7 47790 13.1 40868 12.4 15 to 19 71513 10.3 37766 10.3 33747 10.2 20 to 24 64719 9.3 32891 9.0 31828 9.6 25 to 29 62195 8.9 31524 8.6 30671 9.3 30 to 34 47137 6.8 22804 6.2 24333 7.4 35 to 39 39024 5.6 20128 5.5 18896 5.7 40 to 44 29718 4.3 16129 4.4 13589 4.1 45 to 49 23726 3.4 13279 3.6 10447 3.2 50 to 54 16835 2.4 9118 2.5 7717 2.3 55 to 59 10651 1.5 5862 1.6 4789 1.5 60 to 64 9730 1.4 5464 1.5 4266 1.3 65+ 16496 2.4 10100 2.8 6396 1.9 Source: 5th Sudan Population and Housing Census, 2008

Table 1-84: Five Year Age Groups by Sex. Cueibet County, Lakes State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 117755 100 60188 100 57567 100 0 to 4 19835 16.8 10294 17.1 9541 16.6 5 to 9 19047 16.2 9870 16.4 9177 15.9 10 to 14 16161 13.7 8546 14.2 7615 13.2 15 to 19 11153 9.5 5613 9.3 5540 9.6 20 to 24 9798 8.3 4510 7.5 5288 9.2 25 to 29 10383 8.8 4981 8.3 5402 9.4 30 to 34 7630 6.5 3628 6.0 4002 7.0 35 to 39 6495 5.5 3324 5.5 3171 5.5 40 to 44 4871 4.1 2657 4.4 2214 3.8 45 to 49 3996 3.4 2138 3.6 1858 3.2 50 to 54 2690 2.3 1430 2.4 1260 2.2 55 to 59 1931 1.6 1009 1.7 922 1.6 60 to 64 1422 1.2 802 1.3 620 1.1 65+ 2343 2.0 1386 2.3 957 1.7 Source: 5th Sudan Population and Housing Census, 2008

Table 1-85: Five Year Age Groups by Sex. Rumbek North County, Lakes State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 43410 100 24395 100 19015 100 0 to 4 5007 11.5 2707 11.1 2300 12.1 5 to 9 5580 12.9 3033 12.4 2547 13.4 10 to 14 5607 12.9 3127 12.8 2480 13.0 15 to 19 5263 12.1 2911 11.9 2352 12.4 20 to 24 4656 10.7 2506 10.3 2150 11.3 25 to 29 4036 9.3 2277 9.3 1759 9.3 30 to 34 3686 8.5 1894 7.8 1792 9.4 35 to 39 2633 6.1 1440 5.9 1193 6.3 40 to 44 2219 5.1 1351 5.5 868 4.6 45 to 49 1641 3.8 1073 4.4 568 3.0 50 to 54 1203 2.8 772 3.2 431 2.3 55 to 59 601 1.4 385 1.6 216 1.1 60 to 64 550 1.3 390 1.6 160 0.8 65+ 728 1.7 529 2.2 199 1.0 Source: 5th Sudan Population and Housing Census, 2008

48 Table 1-86: Five Year Age Groups by Sex. Rumbek Centre County, Lakes State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 153550 100 83014 100 70536 100 0 to 4 20016 13.0 10469 12.6 9547 13.5 5 to 9 21838 14.2 11473 13.8 10365 14.7 10 to 14 19245 12.5 10303 12.4 8942 12.7 15 to 19 17387 11.3 9361 11.3 8026 11.4 20 to 24 16422 10.7 8995 10.8 7427 10.5 25 to 29 15045 9.8 8127 9.8 6918 9.8 30 to 34 11588 7.5 6048 7.3 5540 7.9 35 to 39 8973 5.8 4931 5.9 4042 5.7 40 to 44 6862 4.5 3863 4.7 2999 4.3 45 to 49 5095 3.3 2957 3.6 2138 3.0 50 to 54 3680 2.4 2046 2.5 1634 2.3 55 to 59 2134 1.4 1245 1.5 889 1.3 60 to 64 2065 1.3 1170 1.4 895 1.3 65+ 3200 2.1 2026 2.4 1174 1.7 Source: 5th Sudan Population and Housing Census, 2008

Table 1-87: Five Year Age Groups by Sex. Wulu County, Lakes State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 40550 100 21447 100 19103 100 0 to 4 6728 16.6 3676 17.1 3052 16.0 5 to 9 6927 17.1 3849 17.9 3078 16.1 10 to 14 5044 12.4 2895 13.5 2149 11.2 15 to 19 3994 9.8 2042 9.5 1952 10.2 20 to 24 3555 8.8 1679 7.8 1876 9.8 25 to 29 3481 8.6 1641 7.7 1840 9.6 30 to 34 2597 6.4 1208 5.6 1389 7.3 35 to 39 2244 5.5 1105 5.2 1139 6.0 40 to 44 1722 4.2 874 4.1 848 4.4 45 to 49 1229 3.0 709 3.3 520 2.7 50 to 54 786 1.9 451 2.1 335 1.8 55 to 59 535 1.3 316 1.5 219 1.1 60 to 64 575 1.4 337 1.6 238 1.2 65+ 1133 2.8 665 3.1 468 2.4 Source: 5th Sudan Population and Housing Census, 2008

Table 1-88: Five Year Age Groups by Sex. Rumbek East County, Lakes State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 122832 100 65725 100 57107 100 0 to 4 16797 13.7 8840 13.4 7957 13.9 5 to 9 19095 15.5 10160 15.5 8935 15.6 10 to 14 17227 14.0 9437 14.4 7790 13.6 15 to 19 14267 11.6 7762 11.8 6505 11.4 20 to 24 11317 9.2 5990 9.1 5327 9.3 25 to 29 10121 8.2 5017 7.6 5104 8.9 30 to 34 7540 6.1 3562 5.4 3978 7.0 35 to 39 6645 5.4 3449 5.2 3196 5.6 40 to 44 4956 4.0 2752 4.2 2204 3.9 45 to 49 4091 3.3 2398 3.6 1693 3.0 50 to 54 3103 2.5 1711 2.6 1392 2.4 55 to 59 1848 1.5 1084 1.6 764 1.3 60 to 64 1977 1.6 1151 1.8 826 1.4 65+ 3848 3.1 2412 3.7 1436 2.5 Source: 5th Sudan Population and Housing Census, 2008

49 Table 1-89: Five Year Age Groups by Sex. Yirol West County, Lakes State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 103190 100 53835 100 49355 100 0 to 4 17227 16.7 9064 16.8 8163 16.5 5 to 9 16902 16.4 8842 16.4 8060 16.3 10 to 14 11843 11.5 6459 12.0 5384 10.9 15 to 19 9256 9.0 4939 9.2 4317 8.7 20 to 24 9334 9.0 4838 9.0 4496 9.1 25 to 29 9517 9.2 4966 9.2 4551 9.2 30 to 34 7093 6.9 3354 6.2 3739 7.6 35 to 39 5664 5.5 2773 5.2 2891 5.9 40 to 44 4478 4.3 2329 4.3 2149 4.4 45 to 49 3632 3.5 1893 3.5 1739 3.5 50 to 54 2496 2.4 1299 2.4 1197 2.4 55 to 59 1654 1.6 845 1.6 809 1.6 60 to 64 1547 1.5 787 1.5 760 1.5 65+ 2547 2.5 1447 2.7 1100 2.2 Source: 5th Sudan Population and Housing Census, 2008

Table 1-90: Five Year Age Groups by Sex. Yirol East County, Lakes State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 67402 100 33977 100 33425 100 0 to 4 12110 18.0 6192 18.2 5918 17.7 5 to 9 12312 18.3 6408 18.9 5904 17.7 10 to 14 7848 11.6 4090 12.0 3758 11.2 15 to 19 5807 8.6 2940 8.7 2867 8.6 20 to 24 5615 8.3 2564 7.5 3051 9.1 25 to 29 5534 8.2 2644 7.8 2890 8.6 30 to 34 4099 6.1 1886 5.6 2213 6.6 35 to 39 3554 5.3 1762 5.2 1792 5.4 40 to 44 2622 3.9 1354 4.0 1268 3.8 45 to 49 2277 3.4 1207 3.6 1070 3.2 50 to 54 1771 2.6 833 2.5 938 2.8 55 to 59 1152 1.7 562 1.7 590 1.8 60 to 64 1032 1.5 533 1.6 499 1.5 65+ 1669 2.5 1002 2.9 667 2.0 Source: 5th Sudan Population and Housing Census, 2008

Table 1-91: Five Year Age Groups by Sex. Awerial County, Lakes State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 47041 100 23299 100 23742 100 0 to 4 8512 18.1 4366 18.7 4146 17.5 5 to 9 7395 15.7 3782 16.2 3613 15.2 10 to 14 5683 12.1 2933 12.6 2750 11.6 15 to 19 4386 9.3 2198 9.4 2188 9.2 20 to 24 4022 8.5 1809 7.8 2213 9.3 25 to 29 4078 8.7 1871 8.0 2207 9.3 30 to 34 2904 6.2 1224 5.3 1680 7.1 35 to 39 2816 6.0 1344 5.8 1472 6.2 40 to 44 1988 4.2 949 4.1 1039 4.4 45 to 49 1765 3.8 904 3.9 861 3.6 50 to 54 1106 2.4 576 2.5 530 2.2 55 to 59 796 1.7 416 1.8 380 1.6 60 to 64 562 1.2 294 1.3 268 1.1 65+ 1028 2.2 633 2.7 395 1.7 Source: 5th Sudan Population and Housing Census, 2008

50 Table 1-92: Five Year Age Groups by Sex. Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 619029 100 318443 100 300586 100 0 to 4 81154 13.1 42304 13.3 38850 12.9 5 to 9 84827 13.7 44945 14.1 39882 13.3 10 to 14 71626 11.6 38517 12.1 33109 11.0 15 to 19 72776 11.8 36558 11.5 36218 12.0 20 to 24 61278 9.9 29084 9.1 32194 10.7 25 to 29 56984 9.2 27440 8.6 29544 9.8 30 to 34 42527 6.9 20673 6.5 21854 7.3 35 to 39 39593 6.4 19454 6.1 20139 6.7 40 to 44 29201 4.7 15292 4.8 13909 4.6 45 to 49 24377 3.9 13111 4.1 11266 3.7 50 to 54 16125 2.6 8642 2.7 7483 2.5 55 to 59 9885 1.6 5461 1.7 4424 1.5 60 to 64 9766 1.6 5421 1.7 4345 1.4 65+ 18910 3.1 11541 3.6 7369 2.5 Source: 5th Sudan Population and Housing Census, 2008

Table 1-93: Five Year Age Groups by Sex. Tambura County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 55365 100 27319 100 28046 100 0 to 4 7484 13.5 3830 14.0 3654 13.0 5 to 9 7706 13.9 3868 14.2 3838 13.7 10 to 14 5854 10.6 3085 11.3 2769 9.9 15 to 19 6126 11.1 2949 10.8 3177 11.3 20 to 24 5248 9.5 2225 8.1 3023 10.8 25 to 29 5187 9.4 2432 8.9 2755 9.8 30 to 34 3812 6.9 1877 6.9 1935 6.9 35 to 39 3543 6.4 1672 6.1 1871 6.7 40 to 44 2567 4.6 1289 4.7 1278 4.6 45 to 49 2263 4.1 1188 4.3 1075 3.8 50 to 54 1426 2.6 700 2.6 726 2.6 55 to 59 1060 1.9 523 1.9 537 1.9 60 to 64 984 1.8 467 1.7 517 1.8 65+ 2105 3.8 1214 4.4 891 3.2 Source: 5th Sudan Population and Housing Census, 2008

Table 1-94: Five Year Age Groups by Sex. Nagero County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 10077 100 . 100 4756 100 0 to 4 1115 11.1 591 11.1 524 11.0 5 to 9 1266 12.6 688 12.9 578 12.2 10 to 14 984 9.8 549 10.3 435 9.1 15 to 19 1144 11.4 590 11.1 554 11.6 20 to 24 1188 11.8 597 11.2 591 12.4 25 to 29 1060 10.5 547 10.3 513 10.8 30 to 34 795 7.9 423 7.9 372 7.8 35 to 39 592 5.9 303 5.7 289 6.1 40 to 44 470 4.7 243 4.6 227 4.8 45 to 49 438 4.3 204 3.8 234 4.9 50 to 54 290 2.9 149 2.8 141 3.0 55 to 59 191 1.9 111 2.1 80 1.7 60 to 64 196 1.9 110 2.1 86 1.8 65+ 348 3.5 216 4.1 132 2.8 Source: 5th Sudan Population and Housing Census, 2008

51 Table 1-95: Five Year Age Groups by Sex. Nzara County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 65712 100 34381 100 31331 100 0 to 4 7299 11.1 3809 11.1 3490 11.1 5 to 9 7476 11.4 4037 11.7 3439 11.0 10 to 14 6447 9.8 3521 10.2 2926 9.3 15 to 19 7790 11.9 3719 10.8 4071 13.0 20 to 24 6468 9.8 3133 9.1 3335 10.6 25 to 29 6342 9.7 3141 9.1 3201 10.2 30 to 34 4757 7.2 2371 6.9 2386 7.6 35 to 39 4464 6.8 2212 6.4 2252 7.2 40 to 44 3740 5.7 1989 5.8 1751 5.6 45 to 49 3072 4.7 1693 4.9 1379 4.4 50 to 54 2112 3.2 1165 3.4 947 3.0 55 to 59 1272 1.9 739 2.1 533 1.7 60 to 64 1343 2.0 796 2.3 547 1.7 65+ 3130 4.8 2056 6.0 1074 3.4 Source: 5th Sudan Population and Housing Census, 2008

Table 1-96: Five Year Age Groups by Sex. Ezo County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 80861 100 41560 100 39301 100 0 to 4 8392 10.4 4455 10.7 3937 10.0 5 to 9 10637 13.2 5750 13.8 4887 12.4 10 to 14 9718 12.0 5360 12.9 4358 11.1 15 to 19 9279 11.5 4720 11.4 4559 11.6 20 to 24 7184 8.9 3393 8.2 3791 9.6 25 to 29 6899 8.5 3133 7.5 3766 9.6 30 to 34 5911 7.3 2600 6.3 3311 8.4 35 to 39 5601 6.9 2564 6.2 3037 7.7 40 to 44 4451 5.5 2316 5.6 2135 5.4 45 to 49 3631 4.5 1880 4.5 1751 4.5 50 to 54 2517 3.1 1389 3.3 1128 2.9 55 to 59 1496 1.9 831 2.0 665 1.7 60 to 64 1632 2.0 974 2.3 658 1.7 65+ 3513 4.3 2195 5.3 1318 3.4 Source: 5th Sudan Population and Housing Census, 2008

Table 1-97: Five Year Age Groups by Sex. Yambio County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 152257 100 78331 100 73926 100 0 to 4 20212 13.3 10348 13.2 9864 13.3 5 to 9 21350 14.0 11228 14.3 10122 13.7 10 to 14 18236 12.0 9658 12.3 8578 11.6 15 to 19 19265 12.7 9697 12.4 9568 12.9 20 to 24 15537 10.2 7468 9.5 8069 10.9 25 to 29 14354 9.4 6993 8.9 7361 10.0 30 to 34 10350 6.8 5038 6.4 5312 7.2 35 to 39 9935 6.5 4876 6.2 5059 6.8 40 to 44 6829 4.5 3672 4.7 3157 4.3 45 to 49 5603 3.7 3201 4.1 2402 3.2 50 to 54 3575 2.3 2023 2.6 1552 2.1 55 to 59 1922 1.3 1138 1.5 784 1.1 60 to 64 1856 1.2 1046 1.3 810 1.1 65+ 3233 2.1 1945 2.5 1288 1.7 Source: 5th Sudan Population and Housing Census, 2008

52 Table 1-98: Five Year Age Groups by Sex. Ibba County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 41869 100 21545 100 20324 100 0 to 4 4794 11.4 2596 12.0 2198 10.8 5 to 9 5252 12.5 2884 13.4 2368 11.7 10 to 14 4328 10.3 2291 10.6 2037 10.0 15 to 19 4884 11.7 2354 10.9 2530 12.4 20 to 24 4059 9.7 1834 8.5 2225 10.9 25 to 29 3887 9.3 1802 8.4 2085 10.3 30 to 34 3178 7.6 1447 6.7 1731 8.5 35 to 39 2904 6.9 1439 6.7 1465 7.2 40 to 44 2410 5.8 1260 5.8 1150 5.7 45 to 49 1877 4.5 1064 4.9 813 4.0 50 to 54 1257 3.0 664 3.1 593 2.9 55 to 59 829 2.0 494 2.3 335 1.6 60 to 64 776 1.9 458 2.1 318 1.6 65+ 1434 3.4 958 4.4 476 2.3 Source: 5th Sudan Population and Housing Census, 2008

Table 1-99: Five Year Age Groups by Sex. Maridi County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 82461 100 43564 100 38897 100 0 to 4 12233 14.8 6499 14.9 5734 14.7 5 to 9 11597 14.1 6102 14.0 5495 14.1 10 to 14 9634 11.7 5234 12.0 4400 11.3 15 to 19 9325 11.3 4772 11.0 4553 11.7 20 to 24 8444 10.2 4120 9.5 4324 11.1 25 to 29 7963 9.7 4143 9.5 3820 9.8 30 to 34 5680 6.9 3066 7.0 2614 6.7 35 to 39 5017 6.1 2787 6.4 2230 5.7 40 to 44 3579 4.3 1956 4.5 1623 4.2 45 to 49 2896 3.5 1587 3.6 1309 3.4 50 to 54 1964 2.4 1051 2.4 913 2.3 55 to 59 1163 1.4 619 1.4 544 1.4 60 to 64 1094 1.3 594 1.4 500 1.3 65+ 1872 2.3 1034 2.4 838 2.2 Source: 5th Sudan Population and Housing Census, 2008

Table 1-100: Five Year Age Groups by Sex. Mvolo County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 48134 100 25725 100 22409 100 0 to 4 6519 13.5 3569 13.9 2950 13.2 5 to 9 7340 15.2 4102 15.9 3238 14.4 10 to 14 6593 13.7 3656 14.2 2937 13.1 15 to 19 5682 11.8 3076 12.0 2606 11.6 20 to 24 4682 9.7 2395 9.3 2287 10.2 25 to 29 3901 8.1 1804 7.0 2097 9.4 30 to 34 2985 6.2 1475 5.7 1510 6.7 35 to 39 2990 6.2 1421 5.5 1569 7.0 40 to 44 2086 4.3 1111 4.3 975 4.4 45 to 49 1787 3.7 939 3.7 848 3.8 50 to 54 1066 2.2 589 2.3 477 2.1 55 to 59 703 1.5 403 1.6 300 1.3 60 to 64 679 1.4 418 1.6 261 1.2 65+ 1121 2.3 767 3.0 354 1.6 Source: 5th Sudan Population and Housing Census, 2008

53 Table 1-101: Five Year Age Groups by Sex. Mundri West County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 48134 100 25725 100 22409 100 0 to 4 6519 13.5 3569 13.9 2950 13.2 5 to 9 7340 15.2 4102 15.9 3238 14.4 10 to 14 6593 13.7 3656 14.2 2937 13.1 15 to 19 5682 11.8 3076 12.0 2606 11.6 20 to 24 4682 9.7 2395 9.3 2287 10.2 25 to 29 3901 8.1 1804 7.0 2097 9.4 30 to 34 2985 6.2 1475 5.7 1510 6.7 35 to 39 2990 6.2 1421 5.5 1569 7.0 40 to 44 2086 4.3 1111 4.3 975 4.4 45 to 49 1787 3.7 939 3.7 848 3.8 50 to 54 1066 2.2 589 2.3 477 2.1 55 to 59 703 1.5 403 1.6 300 1.3 60 to 64 679 1.4 418 1.6 261 1.2 65+ 1121 2.3 767 3.0 354 1.6 Source: 5th Sudan Population and Housing Census, 2008

Table 1-101: Five Year Age Groups by Sex. Mundri West County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 33975 100 17014 100 16961 100 0 to 4 5346 15.7 2664 15.7 2682 15.8 5 to 9 4990 14.7 2542 14.9 2448 14.4 10 to 14 4035 11.9 2111 12.4 1924 11.3 15 to 19 3839 11.3 2008 11.8 1831 10.8 20 to 24 3555 10.5 1706 10.0 1849 10.9 25 to 29 3088 9.1 1521 8.9 1567 9.2 30 to 34 2190 6.4 1043 6.1 1147 6.8 35 to 39 1911 5.6 982 5.8 929 5.5 40 to 44 1224 3.6 589 3.5 635 3.7 45 to 49 1164 3.4 580 3.4 584 3.4 50 to 54 770 2.3 371 2.2 399 2.4 55 to 59 535 1.6 260 1.5 275 1.6 60 to 64 498 1.5 225 1.3 273 1.6 65+ 830 2.4 412 2.4 418 2.5 Source: 5th Sudan Population and Housing Census, 2008

Table 1-102: Five Year Age Groups by Sex. Mundri East County, Western Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 48318 100 23683 100 24635 100 0 to 4 7760 16.1 3943 16.6 3817 15.5 5 to 9 7213 14.9 3744 15.8 3469 14.1 10 to 14 5797 12.0 3052 12.9 2745 11.1 15 to 19 5442 11.3 2673 11.3 2769 11.2 20 to 24 4913 10.2 2213 9.3 2700 11.0 25 to 29 4303 8.9 1924 8.1 2379 9.7 30 to 34 2869 5.9 1333 5.6 1536 6.2 35 to 39 2636 5.5 1198 5.1 1438 5.8 40 to 44 1845 3.8 867 3.7 978 4.0 45 to 49 1646 3.4 775 3.3 871 3.5 50 to 54 1148 2.4 541 2.3 607 2.5 55 to 59 714 1.5 343 1.4 371 1.5 60 to 64 708 1.5 333 1.4 375 1.5 65+ 1324 2.7 744 3.1 580 2.4 Source: 5th Sudan Population and Housing Census, 2008

54 Table 1-103: Five Year Age Groups by Sex. Central Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 1103557 100 581722 100 521835 100 0 to 4 163539 14.8 85158 14.6 78381 15.0 5 to 9 161582 14.6 84207 14.5 77375 14.8 10 to 14 138342 12.5 72882 12.5 65460 12.5 15 to 19 128564 11.6 66688 11.5 61876 11.9 20 to 24 111675 10.1 57825 9.9 53850 10.3 25 to 29 106551 9.7 55390 9.5 51161 9.8 30 to 34 75048 6.8 40117 6.9 34931 6.7 35 to 39 66553 6.0 35613 6.1 30940 5.9 40 to 44 43986 4.0 24162 4.2 19824 3.8 45 to 49 35444 3.2 19463 3.3 15981 3.1 50 to 54 24305 2.2 13104 2.3 11201 2.1 55 to 59 14697 1.3 8331 1.4 6366 1.2 60 to 64 13266 1.2 7373 1.3 5893 1.1 65+ 20005 1.8 11409 2.0 8596 1.6 Source: 5th Sudan Population and Housing Census, 2008

Table 1-104: Five Year Age Groups by Sex. Terekeka County, Central Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 144373 100 74165 100 70208 100 0 to 4 20653 14.3 10968 14.8 9685 13.8 5 to 9 22376 15.5 11899 16.0 10477 14.9 10 to 14 19828 13.7 10611 14.3 9217 13.1 15 to 19 16996 11.8 8742 11.8 8254 11.8 20 to 24 13304 9.2 6470 8.7 6834 9.7 25 to 29 12559 8.7 5768 7.8 6791 9.7 30 to 34 9741 6.7 4516 6.1 5225 7.4 35 to 39 8350 5.8 4072 5.5 4278 6.1 40 to 44 6152 4.3 2990 4.0 3162 4.5 45 to 49 4819 3.3 2541 3.4 2278 3.2 50 to 54 3314 2.3 1783 2.4 1531 2.2 55 to 59 1861 1.3 1082 1.5 779 1.1 60 to 64 1814 1.3 1102 1.5 712 1.0 65+ 2606 1.8 1621 2.2 985 1.4 Source: 5th Sudan Population and Housing Census, 2008

Table 1-105: Five Year Age Groups by Sex. Juba County, Central Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 368436 100 203493 100 164943 100 0 to 4 49383 13.4 25983 12.8 23400 14.2 5 to 9 45801 12.4 23827 11.7 21974 13.3 10 to 14 38515 10.5 20439 10.0 18076 11.0 15 to 19 39750 10.8 20778 10.2 18972 11.5 20 to 24 41798 11.3 23011 11.3 18787 11.4 25 to 29 41760 11.3 24119 11.9 17641 10.7 30 to 34 29237 7.9 17378 8.5 11859 7.2 35 to 39 25773 7.0 15029 7.4 10744 6.5 40 to 44 16819 4.6 10026 4.9 6793 4.1 45 to 49 13557 3.7 7962 3.9 5595 3.4 50 to 54 9154 2.5 5276 2.6 3878 2.4 55 to 59 5417 1.5 3269 1.6 2148 1.3 60 to 64 4861 1.3 2728 1.3 2133 1.3 65+ 6611 1.8 3668 1.8 2943 1.8 Source: 5th Sudan Population and Housing Census, 2008

55 Table 1-106: Five Year Age Groups by Sex. Lainya County, Central Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 89315 100 47424 100 41891 100 0 to 4 13384 15.0 7107 15.0 6277 15.0 5 to 9 13474 15.1 7240 15.3 6234 14.9 10 to 14 11295 12.6 6135 12.9 5160 12.3 15 to 19 10645 11.9 5463 11.5 5182 12.4 20 to 24 8513 9.5 4293 9.1 4220 10.1 25 to 29 8510 9.5 4225 8.9 4285 10.2 30 to 34 5775 6.5 3006 6.3 2769 6.6 35 to 39 5289 5.9 2787 5.9 2502 6.0 40 to 44 3484 3.9 2004 4.2 1480 3.5 45 to 49 3006 3.4 1687 3.6 1319 3.1 50 to 54 1964 2.2 1105 2.3 859 2.1 55 to 59 1205 1.3 692 1.5 513 1.2 60 to 64 1058 1.2 597 1.3 461 1.1 65+ 1713 1.9 1083 2.3 630 1.5 Source: 5th Sudan Population and Housing Census, 2008

Table 1-107: Five Year Age Groups by Sex. Yei County, Central Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 201443 100 105165 100 96278 100 0 to 4 32235 16.0 16758 15.9 15477 16.1 5 to 9 29624 14.7 15436 14.7 14188 14.7 10 to 14 25530 12.7 13474 12.8 12056 12.5 15 to 19 24330 12.1 12787 12.2 11543 12.0 20 to 24 20877 10.4 10770 10.2 10107 10.5 25 to 29 18276 9.1 9330 8.9 8946 9.3 30 to 34 12677 6.3 6626 6.3 6051 6.3 35 to 39 11148 5.5 5921 5.6 5227 5.4 40 to 44 7319 3.6 3851 3.7 3468 3.6 45 to 49 5774 2.9 3058 2.9 2716 2.8 50 to 54 4167 2.1 2080 2.0 2087 2.2 55 to 59 2576 1.3 1390 1.3 1186 1.2 60 to 64 2487 1.2 1299 1.2 1188 1.2 65+ 4423 2.2 2385 2.3 2038 2.1 Source: 5th Sudan Population and Housing Census, 2008

Table 1-108: Five Year Age Groups by Sex. Morobo County, Central Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 103603 100 52976 100 50627 100 0 to 4 17026 16.4 8720 16.5 8306 16.4 5 to 9 17164 16.6 8708 16.4 8456 16.7 10 to 14 13765 13.3 7200 13.6 6565 13.0 15 to 19 12152 11.7 6249 11.8 5903 11.7 20 to 24 9892 9.5 4827 9.1 5065 10.0 25 to 29 9190 8.9 4462 8.4 4728 9.3 30 to 34 6366 6.1 3336 6.3 3030 6.0 35 to 39 5594 5.4 2811 5.3 2783 5.5 40 to 44 3582 3.5 1923 3.6 1659 3.3 45 to 49 2925 2.8 1524 2.9 1401 2.8 50 to 54 1920 1.9 986 1.9 934 1.8 55 to 59 1241 1.2 653 1.2 588 1.2 60 to 64 1074 1.0 592 1.1 482 1.0 65+ 1712 1.7 985 1.9 727 1.4 Source: 5th Sudan Population and Housing Census, 2008

56 Table 1-109: Five Year Age Groups by Sex. Kajo-Keji County, Central Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 196387 100 98499 100 97888 100 0 to 4 30858 15.7 15622 15.9 15236 15.6 5 to 9 33143 16.9 17097 17.4 16046 16.4 10 to 14 29409 15.0 15023 15.3 14386 14.7 15 to 19 24691 12.6 12669 12.9 12022 12.3 20 to 24 17291 8.8 8454 8.6 8837 9.0 25 to 29 16256 8.3 7486 7.6 8770 9.0 30 to 34 11252 5.7 5255 5.3 5997 6.1 35 to 39 10399 5.3 4993 5.1 5406 5.5 40 to 44 6630 3.4 3368 3.4 3262 3.3 45 to 49 5363 2.7 2691 2.7 2672 2.7 50 to 54 3786 1.9 1874 1.9 1912 2.0 55 to 59 2397 1.2 1245 1.3 1152 1.2 60 to 64 1972 1.0 1055 1.1 917 0.9 65+ 2940 1.5 1667 1.7 1273 1.3 Source: 5th Sudan Population and Housing Census, 2008

Table 1-110: Five Year Age Groups by Sex. Eastern Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 906161 100 465187 100 440974 100 0 to 4 126467 14.0 66232 14.2 60235 13.7 5 to 9 140529 15.5 74226 16.0 66303 15.0 10 to 14 133693 14.8 72270 15.5 61423 13.9 15 to 19 117357 13.0 61676 13.3 55681 12.6 20 to 24 80223 8.9 39054 8.4 41169 9.3 25 to 29 73531 8.1 34355 7.4 39176 8.9 30 to 34 57187 6.3 26453 5.7 30734 7.0 35 to 39 49172 5.4 23364 5.0 25808 5.9 40 to 44 34859 3.8 17274 3.7 17585 4.0 45 to 49 28228 3.1 14501 3.1 13727 3.1 50 to 54 19691 2.2 10209 2.2 9482 2.2 55 to 59 12386 1.4 6646 1.4 5740 1.3 60 to 64 11673 1.3 6399 1.4 5274 1.2 65+ 21165 2.3 12528 2.7 8637 2.0 Source: 5th Sudan Population and Housing Census, 2008

Table 1-111: Five Year Age Groups by Sex. Torit County, Eastern Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 99740 100 50644 100 49096 100 0 to 4 15056 15.1 7904 15.6 7152 14.6 5 to 9 15212 15.3 8044 15.9 7168 14.6 10 to 14 13009 13.0 6918 13.7 6091 12.4 15 to 19 12296 12.3 6170 12.2 6126 12.5 20 to 24 9755 9.8 4634 9.2 5121 10.4 25 to 29 8605 8.6 4187 8.3 4418 9.0 30 to 34 6252 6.3 3097 6.1 3155 6.4 35 to 39 5076 5.1 2472 4.9 2604 5.3 40 to 44 3882 3.9 1850 3.7 2032 4.1 45 to 49 2990 3.0 1451 2.9 1539 3.1 50 to 54 2361 2.4 1174 2.3 1187 2.4 55 to 59 1469 1.5 746 1.5 723 1.5 60 to 64 1405 1.4 729 1.4 676 1.4 65+ 2372 2.4 1268 2.5 1104 2.2 Source: 5th Sudan Population and Housing Census, 2008

57 Table 1-112: Five Year Age Groups by Sex. Lafon County, Eastern Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 106161 100 55943 100 50218 100 0 to 4 13425 12.6 7054 12.6 6371 12.7 5 to 9 15457 14.6 8224 14.7 7233 14.4 10 to 14 15402 14.5 8347 14.9 7055 14.0 15 to 19 14744 13.9 7609 13.6 7135 14.2 20 to 24 9341 8.8 4659 8.3 4682 9.3 25 to 29 8209 7.7 4097 7.3 4112 8.2 30 to 34 6225 5.9 3165 5.7 3060 6.1 35 to 39 5317 5.0 2728 4.9 2589 5.2 40 to 44 4309 4.1 2159 3.9 2150 4.3 45 to 49 3855 3.6 2042 3.7 1813 3.6 50 to 54 2833 2.7 1540 2.8 1293 2.6 55 to 59 1956 1.8 1065 1.9 891 1.8 60 to 64 1901 1.8 1144 2.0 757 1.5 65+ 3187 3.0 2110 3.8 1077 2.1 Source: 5th Sudan Population and Housing Census, 2008

Table 1-113: Five Year Age Groups by Sex. Kapoeta North County, Eastern Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 103084 100 53269 100 49815 100 0 to 4 12521 12.1 6571 12.3 5950 11.9 5 to 9 15075 14.6 8154 15.3 6921 13.9 10 to 14 16565 16.1 9080 17.0 7485 15.0 15 to 19 13757 13.3 7401 13.9 6356 12.8 20 to 24 9851 9.6 5048 9.5 4803 9.6 25 to 29 7739 7.5 3528 6.6 4211 8.5 30 to 34 6690 6.5 2894 5.4 3796 7.6 35 to 39 5555 5.4 2283 4.3 3272 6.6 40 to 44 4284 4.2 2110 4.0 2174 4.4 45 to 49 3171 3.1 1613 3.0 1558 3.1 50 to 54 2221 2.2 1160 2.2 1061 2.1 55 to 59 1389 1.3 786 1.5 603 1.2 60 to 64 1355 1.3 798 1.5 557 1.1 65+ 2911 2.8 1843 3.5 1068 2.1 Source: 5th Sudan Population and Housing Census, 2008

Table 1-114: Five Year Age Groups by Sex. Kapoeta East County, Eastern Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 163997 100 81020 100 82977 100 0 to 4 22923 14.0 11883 14.7 11040 13.3 5 to 9 26239 16.0 13473 16.6 12766 15.4 10 to 14 25104 15.3 13426 16.6 11678 14.1 15 to 19 20245 12.3 10618 13.1 9627 11.6 20 to 24 13771 8.4 6565 8.1 7206 8.7 25 to 29 13138 8.0 5512 6.8 7626 9.2 30 to 34 11139 6.8 4457 5.5 6682 8.1 35 to 39 9433 5.8 3921 4.8 5512 6.6 40 to 44 6349 3.9 2909 3.6 3440 4.1 45 to 49 5020 3.1 2503 3.1 2517 3.0 50 to 54 3149 1.9 1567 1.9 1582 1.9 55 to 59 2060 1.3 1064 1.3 996 1.2 60 to 64 1786 1.1 970 1.2 816 1.0 65+ 3641 2.2 2152 2.7 1489 1.8 Source: 5th Sudan Population and Housing Census, 2008

58 Table 1-115: Five Year Age Groups by Sex. Kapoeta South County, Eastern Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 79470 100 42402 100 37068 100 0 to 4 11735 14.8 6259 14.8 5476 14.8 5 to 9 13684 17.2 7344 17.3 6340 17.1 10 to 14 12709 16.0 7051 16.6 5658 15.3 15 to 19 9812 12.3 5529 13.0 4283 11.6 20 to 24 6531 8.2 3273 7.7 3258 8.8 25 to 29 6438 8.1 3054 7.2 3384 9.1 30 to 34 5081 6.4 2360 5.6 2721 7.3 35 to 39 4063 5.1 1988 4.7 2075 5.6 40 to 44 2953 3.7 1604 3.8 1349 3.6 45 to 49 2060 2.6 1167 2.8 893 2.4 50 to 54 1423 1.8 845 2.0 578 1.6 55 to 59 831 1.0 543 1.3 288 0.8 60 to 64 820 1.0 531 1.3 289 0.8 65+ 1330 1.7 854 2.0 476 1.3 Source: 5th Sudan Population and Housing Census, 2008

Table 1-116: Five Year Age Groups by Sex. Budi County, Eastern Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 99234 100 49925 100 49309 100 0 to 4 14010 14.1 7337 14.7 6673 13.5 5 to 9 15270 15.4 8165 16.4 7105 14.4 10 to 14 15114 15.2 8208 16.4 6906 14.0 15 to 19 13977 14.1 7096 14.2 6881 14.0 20 to 24 8250 8.3 3844 7.7 4406 8.9 25 to 29 7262 7.3 3224 6.5 4038 8.2 30 to 34 5503 5.5 2302 4.6 3201 6.5 35 to 39 5102 5.1 2246 4.5 2856 5.8 40 to 44 3587 3.6 1630 3.3 1957 4.0 45 to 49 3567 3.6 1753 3.5 1814 3.7 50 to 54 2414 2.4 1191 2.4 1223 2.5 55 to 59 1515 1.5 815 1.6 700 1.4 60 to 64 1373 1.4 739 1.5 634 1.3 65+ 2290 2.3 1375 2.8 915 1.9 Source: 5th Sudan Population and Housing Census, 2008

Table 1-117: Five Year Age Groups by Sex. Ikotos County, Eastern Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 84649 100 42106 100 42543 100 0 to 4 12991 15.3 6687 15.9 6304 14.8 5 to 9 13144 15.5 6863 16.3 6281 14.8 10 to 14 11398 13.5 6120 14.5 5278 12.4 15 to 19 10230 12.1 5068 12.0 5162 12.1 20 to 24 7115 8.4 3174 7.5 3941 9.3 25 to 29 6837 8.1 3157 7.5 3680 8.7 30 to 34 5090 6.0 2369 5.6 2721 6.4 35 to 39 4518 5.3 2148 5.1 2370 5.6 40 to 44 3395 4.0 1557 3.7 1838 4.3 45 to 49 3059 3.6 1496 3.6 1563 3.7 50 to 54 2105 2.5 1069 2.5 1036 2.4 55 to 59 1303 1.5 652 1.5 651 1.5 60 to 64 1218 1.4 599 1.4 619 1.5 65+ 2246 2.7 1147 2.7 1099 2.6 Source: 5th Sudan Population and Housing Census, 2008

59 Table 1-118: Five Year Age Groups by Sex. Magwi County, Eastern Equatoria State Sex Five Year Age Groups Total Percent Male Percent Female Percent Total 169826 100 89878 100 79948 100 0 to 4 23806 14.0 12537 13.9 11269 14.1 5 to 9 26448 15.6 13959 15.5 12489 15.6 10 to 14 24392 14.4 13120 14.6 11272 14.1 15 to 19 22296 13.1 12185 13.6 10111 12.6 20 to 24 15609 9.2 7857 8.7 7752 9.7 25 to 29 15303 9.0 7596 8.5 7707 9.6 30 to 34 11207 6.6 5809 6.5 5398 6.8 35 to 39 10108 6.0 5578 6.2 4530 5.7 40 to 44 6100 3.6 3455 3.8 2645 3.3 45 to 49 4506 2.7 2476 2.8 2030 2.5 50 to 54 3185 1.9 1663 1.9 1522 1.9 55 to 59 1863 1.1 975 1.1 888 1.1 60 to 64 1815 1.1 889 1.0 926 1.2 65+ 3188 1.9 1779 2.0 1409 1.8 Source: 5th Sudan Population and Housing Census, 2008

60 2. Migration

Table 2-1: Place of birth by background characteristics. Percentage of population. Place of Birth Background characteristics Born outside of Southern Born in Southern Sudan Total Sudan Urban/rural Southern Sudan 96.4 3.6 100 Urban 92.8 7.2 100 Rural 97.1 2.9 100 Sex Male 95.8 4.2 100 Female 97.0 3.0 100 Age group 6-9 96.0 4.0 100 10-14 95.4 4.6 100 15-19 96.4 3.6 100 20-24 96.7 3.3 100 25-29 96.3 3.7 100 30-34 96.4 3.6 100 35-39 96.5 3.5 100 40-44 97.0 3.0 100 45-49 97.6 2.4 100 50-54 97.9 2.1 100 55-59 98.2 1.8 100 60-64 98.5 1.5 100 65+ 98.7 1.3 100 State Upper Nile 94.9 5.1 100 Jonglei 99.3 0.7 100 Unity 95.9 4.1 100 Warrap 98.3 1.7 100 Northern Bahr El Ghazal 94.9 5.1 100 Western Bahr El Ghazal 94.0 6.0 100 Lakes 99.5 0.5 100 Western Equatoria 98.8 1.2 100 Central Equatoria 92.7 7.3 100 Eastern Equatoria 94.3 5.7 100 Source: 5th Sudan Population and Housing Census, 2008 (short form questionnaire)

Table 2-2: Duration of residence by background characteristics. Percentage of population. Duration of residence Background characteristics Less than one year 1-4 years 5-9 years 10+ years Total Urban/rural Southern Sudan 5.4 20.9 16.4 57.2 100 Urban 7.2 28.3 15.9 48.5 100 Rural 5.0 19.4 16.5 59.0 100 Sex Male 5.9 21.8 16.8 55.6 100 Female 4.9 20.0 16.0 59.1 100 Age group 6-9. 11.9 48.7 39.4 0 100 10-14. 2.2 9.0 19.8 69.0 100 15-19 2.3 9.2 4.1 84.4 100 20-24 3.1 11.2 3.6 82.1 100

61 25-29 3.7 12.0 4.0 80.2 100 30-34 3.6 11.5 3.7 81.2 100 35-39 3.7 10.7 3.9 81.7 100 40-44 3.1 9.5 3.3 84.1 100 45-49 2.8 8.5 3.3 85.5 100 50-54 2.5 8.1 3.4 86.0 100 55-59 2.2 7.5 3.0 87.3 100 60-64 2.1 7.2 3.2 87.6 100 65+ 1.8 6.6 3.5 88.1 100 State Upper Nile 5.3 20.7 17.1 56.9 100 Jonglei 3.4 16.3 16.3 64.0 100 Unity 5.1 25.2 18.2 51.5 100 Warrap 4.9 18.3 16.9 59.9 100 Northern Bahr El 5.7 26.2 16.8 51.3 100 Ghazal Western Bahr El 9.6 28.5 15.7 46.2 100 Ghazal Lakes 3.7 16.4 16.8 63.1 100 Western Equatoria 3.2 15.2 15.0 66.7 100 Central Equatoria 6.0 29.0 16.3 48.8 100 Eastern Equatoria 9.8 18.6 15.1 56.5 100 Source: 5th Sudan Population and Housing Census, 2008 (short form questionnaire)

Table 2-3: Place moved from by background characteristics. Percentage of those who moved in past 12 months. Movement within the last 12 months Background characteristics Moved from another state Moved from a state Moved from Total in Southern Sudan in Northern Sudan another Country Urban/rural Southern Sudan 55.3 24.5 20.3 100 Urban 54.1 37.9 8.0 100 Rural 55.8 18.6 25.7 100 Sex Male 55.0 25.0 20.0 100 Female 55.6 23.9 20.5 100 Age group 0-4 49.8 23.0 27.2 100 5-9 50.3 24.5 25.2 100 10-14 48.6 27.3 24.1 100 15-19 56.7 22.5 20.8 100 20-24 55.1 25.1 19.7 100 25-29 62.0 21.3 16.7 100 30-34 57.9 24.0 18.1 100 35-39 61.2 23.4 15.4 100 40-44 54.8 30.9 14.3 100 45-49 61.3 23.7 14.9 100 50-54 60.5 27.2 12.2 100 55-59 66.7 23.0 10.3 100 60-64 61.8 26.3 11.9 100 65+ 63.2 26.9 9.8 100 Educational status Never attended school 64.7 25.5 9.8 100 Attending or attended school: no 46.6 26.6 26.7 100 qualiﬁcations Attending or attended school: 55.1 21.0 23.9 100 primary Attending or attended school: 47.4 19.9 32.7 100 secondary or higher State Upper Nile 39.2 42.8 18.0 100 Jonglei 64.3 10.7 24.9 100 Unity 33.0 64.5 2.5 100 Warrap 81.6 16.8 1.6 100 Northern Bahr El Ghazal 36.5 63.2 0.3 100 Western Bahr El Ghazal 64.4 34.3 1.3 100

62 Lakes 72.7 18.7 8.6 100 Western Equatoria 85.0 8.1 6.9 100 Central Equatoria 44.6 8.6 46.8 100 Eastern Equatoria 52.1 2.6 45.2 100 Source: 5th Sudan Population and Housing Census, 2008 (short form questionnaire)

63 64 3. Orphanhood and Disability

Table 3-1: Orphanhood by background characteristics. Percentage of population 0-14 years. Orphanhood Mother and Father Survival Both Background characteristics Not Both Parents Father Mother Orphan Total Parents Total Orphan Dead Dead Dead Alive Urban/rural Southern Sudan 2.4 97.6 100 2.4 85.4 10.2 2.0 100 Urban 2.1 97.9 100 2.1 86.1 10.1 1.7 100 Rural 2.4 97.6 100 2.4 85.3 10.2 2.1 100 Sex Male 2.4 97.6 100 2.4 85.5 10.1 2.1 100 Female 2.3 97.7 100 2.3 85.3 10.4 2.0 100 Sex of household Male 2.4 97.6 100 2.4 90.3 5.0 2.3 100 head Female 2.3 97.7 100 2.3 78.6 17.5 1.7 100 Educational attain- Never attended 2.4 97.6 100 2.4 84.4 11.2 2.0 100 ment of household school head No qualiﬁcations 2.5 97.5 100 2.5 87.0 8.6 1.9 100 Primary 2.4 97.6 100 2.4 88.6 6.9 2.2 100 Secondary or 1.8 98.2 100 1.8 90.5 5.7 2.0 100 higher Occupational sta- Paid Employee 1.6 98.4 100 1.6 88.8 8.0 1.6 100 tus of household Employer 6.4 93.6 100 6.4 79.3 11.0 3.3 100 head Own Account 2.7 97.3 100 2.7 84.7 10.4 2.2 100 Worker Unpaid Family 1.9 98.1 100 1.9 85.7 10.6 1.8 100 Worker Unpaid working for 2.6 97.4 100 2.6 85.4 9.8 2.1 100 others Not Working 2.3 97.7 100 2.3 84.6 11.0 2.0 100 Age group 0-5 1.8 98.2 100 1.8 88.8 8.0 1.4 100 6- 9 2.4 97.6 100 2.4 84.9 10.6 2.1 100 10-14 3.2 96.8 100 3.2 80.8 13.2 2.8 100 State Upper Nile 2.3 97.7 100 2.3 85.7 9.8 2.2 100 Jonglei 3.8 96.2 100 3.8 84.8 9.5 1.9 100 Unity 4.7 95.3 100 4.7 82.3 11.7 1.3 100 Warrap 1.8 98.2 100 1.8 84.3 12.3 1.7 100 Northern Bahr El 1.1 98.9 100 1.1 84.9 12.2 1.9 100 Ghazal Western Bahr El 1.6 98.4 100 1.6 84.9 11.4 2.1 100 Ghazal Lakes 1.5 98.5 100 1.5 86.7 10.3 1.5 100 Western Equatoria 2.2 97.8 100 2.2 86.7 7.7 3.4 100 Central Equatoria 2.4 97.6 100 2.4 84.9 10.1 2.6 100 Eastern Equatoria 1.5 98.5 100 1.5 88.8 7.9 1.8 100 Source: 5th Sudan Population and Housing Census, 2008.

65 Table 3-2 Education and literacy status of orphans by background characteristics. Population aged 6-14 years.

Percentage of population aged Literacy rate for population aged 6-14 6-14 who have never attended Background characteristics school Orphan Not Orphan Orphan Not Orphan Urban/rural Southern Sudan 29.9 33.8 70.1 66.2 Urban 45.5 57.5 54.5 42.5 Rural 27.2 29.2 72.8 70.8 Sex Male 33.5 35.8 66.5 64.2 Female 25.6 31.5 74.4 68.5 Sex of household head Male 32.2 36.0 67.8 64.0 Female 26.3 30.6 73.7 69.4 Educational attainment of Never attended school 22.5 23.5 77.5 76.5 household head No qualiﬁcations 51.8 62.5 48.2 37.5 Primary 54.6 69.2 45.4 30.8 Secondary or higher 67.2 76.5 32.8 23.5 Occupational status of Paid Employee 52.5 64.0 47.5 36.0 household head Employer 23.3 48.6 76.7 51.4 Own Account Worker 29.3 29.9 70.7 70.1 Unpaid Family Worker 25.0 25.4 75.0 74.6 Unpaid working for others 21.6 33.3 78.4 66.7 Not Working 31.3 38.0 68.7 62.0 Source: 5th Sudan Population and Housing Census, 2008.

Table 3-3: Prevalence of disability by background characteristics. Percentage of population.

Disability Background characteristics Without With disabilities Total disabilities Urban/rural Southern Sudan 5.1 94.9 100 Urban 4.5 95.5 100 Rural 5.2 94.8 100 Sex Male 5.1 94.9 100 Female 5.0 95.0 100 Sex of household head Male 5.2 94.8 100 Female 4.9 95.1 100 Educational attainment of household Never attended school 4.9 95.1 100 head No qualiﬁcations 7.2 92.8 100 Primary 5.9 94.1 100 Secondary or higher 4.3 95.7 100 Occupational status of household head Paid Employee 4.5 95.5 100 Employer 4.2 95.8 100 Own Account Worker 5.2 94.8 100 Unpaid Family Worker 4.4 95.6 100 Unpaid working for others 6.7 93.3 100 Not Working 7.5 92.5 100

66 Age group 0-5 1.9 98.1 100 6- 9 2.4 97.6 100 10-14 2.8 97.2 100 15-19 3.1 96.9 100 20-24 3.7 96.3 100 25-29 4.1 95.9 100 30-34 5.2 94.8 100 35-39 6.6 93.4 100 40-44 9.6 90.4 100 45-49 11.1 88.9 100 50-54 15.6 84.4 100 55-59 17.6 82.4 100 60-64 21.9 78.1 100 65+ 28.0 72.0 100 State Upper Nile 6.3 93.7 100 Jonglei 4.0 96.0 100 Unity 5.1 94.9 100 Warrap 3.7 96.3 100 Northern Bahr El Ghazal 5.6 94.4 100 Western Bahr El Ghazal 4.7 95.3 100 Lakes 3.1 96.9 100 Western Equatoria 8.1 91.9 100 Central Equatoria 6.7 93.3 100 Eastern Equatoria 4.2 95.8 100 Source: 5th Sudan Population and Housing Census, 2008. Table 3-4: Literacy rate by disability according to background characteristics. Population aged 6 and above.

Literacy rate for population aged 6 years and above Background characteristics With disabilities Without disabilities Urban/rural Southern Sudan 24.3 29.3 Urban 37.9 51.4 Rural 21.9 24.6 Sex Male 30.8 35.4 Female 17.6 23.2 Sex of household head Male 27.0 31.5 Female 19.8 25.7 Educational attainment of household Never attended school 9.4 15.9 head No qualiﬁcations 64.4 67.4 Primary 66.4 70.2 Secondary or higher 64.3 77.2 Occupational status of household head Paid Employee 47.2 59.7 Employer 33.7 42.7 Own Account Worker 20.6 24.4 Unpaid Family Worker 20.8 20.9 Unpaid working for others 26.7 27.4 Not Working 22.2 33.3 Age group 6- 9 32.1 27.7 10-14 41.4 39.4 15-19 41.7 39.3 20-24 34.3 33.4 25-29 31.3 28.5 30-34 28.5 23.4 35-39 27.5 21.9 40-44 21.6 19.1 45-49 20.4 18.6 50-54 14.9 15.1 55-59 13.6 13.9 60-64 11.9 12.3 65+ 10.1 11.0

67 State Upper Nile 25.3 33.0 Jonglei 14.1 21.8 Unity 16.1 22.3 Warrap 10.5 13.0 Northern Bahr El Ghazal 16.3 23.3 Western Bahr El Ghazal 28.6 38.8 Lakes 11.3 18.7 Western Equatoria 33.9 49.7 Central Equatoria 43.2 59.7 Eastern Equatoria 21.3 18.4 Source: 5th Sudan Population and Housing Census, 2008.

Table 3-5: School attendance by disability according to background characteristics. Population aged 6 and above.

Percent of population 6 years and above Background characteristics never attended school With disabilities Without disabilities Urban/rural Southern Sudan 75.7 70.7 Urban 62.1 48.6 Rural 78.1 75.4 Sex Male 69.2 64.6 Female 82.4 76.8 Sex of household head Male 73.0 68.5 Female 80.2 74.3 Educational attainment of household head Never attended school 90.6 84.1 No qualiﬁcations 35.6 32.6 Primary 33.6 29.8 Secondary or higher 35.7 22.8 Occupational status of household head Paid Employee 52.8 40.3 Employer 66.3 57.3 Own Account Worker 79.4 75.6 Unpaid Family Worker 79.2 79.1 Unpaid working for others 73.3 72.6 Not Working 77.8 66.7 Age group 6- 9 67.9 72.3 10-14 58.6 60.6 15-19 58.3 60.7 20-24 65.7 66.6 25-29 68.7 71.5 30-34 71.5 76.6 35-39 72.5 78.1 40-44 78.4 80.9 45-49 79.6 81.4 50-54 85.1 84.9 55-59 86.4 86.1 60-64 88.1 87.7 65+ 89.9 89.0 State Upper Nile 74.7 67.0 Jonglei 85.9 78.2 Unity 83.9 77.7 Warrap 89.5 87.0 Northern Bahr El Ghazal 83.7 76.7 Western Bahr El Ghazal 71.4 61.2 Lakes 88.7 81.3 Western Equatoria 66.1 50.3 Central Equatoria 56.8 40.3 Eastern Equatoria 78.7 81.6 Source: 5th Sudan Population and Housing Census, 2008.

68 Table 3-6: Economic Activity by disability according to background characteristics. Population aged 10 years and above.

Percent of population 10 years and above who Background characteristics are economically active With disabilities Without disabilities Urban/rural Southern Sudan 67.8 71.2 Urban 65.0 64.3 Rural 68.3 72.7 Sex Male 72.3 72.7 Female 63.0 69.7 Sex of household head Male 68.5 71.6 Female 66.6 70.5 Educational attainment of household head Never attended school 68.0 72.8 No qualiﬁcations 69.3 69.6 Primary 67.7 65.8 Secondary or higher 63.2 63.6 Occupational status of household head Paid Employee 67.1 65.4 Employer 76.6 76.8 Own Account Worker 70.1 66.2 Unpaid Family Worker 79.5 85.1 Unpaid working for others 82.0 84.4 Not Working 29.8 55.2 Age group 10-14 57.4 58.5 15-19 57.7 61.1 20-24 66.6 69.1 25-29 76.2 76.8 30-34 78.6 81.4 35-39 81.9 84.6 40-44 78.7 85.5 45-49 80.2 86.0 50-54 76.6 83.7 55-59 69.1 82.0 60-64 66.6 79.4 65+ 45.4 55.1 65+ 70.4 72.3 State Upper Nile 68.6 69.8 Jonglei 71.9 78.8 Unity 70.0 76.0 Warrap 65.1 69.0 Northern Bahr El Ghazal 69.7 67.8 Western Bahr El Ghazal 60.2 66.6 Lakes 66.6 65.0 Western Equatoria 67.1 64.4 Central Equatoria 66.6 80.7 Eastern Equatoria Source: 5th Sudan Population and Housing Census, 2008.

69 9.4 7.4 6.4 5.9 4.1 15.6 15.6 23.1 24.8 16.2 17.1 18.8 17.5 16.7 16.5 18.2 15.9 28.2 20.2 11.3 21.0 21.1 22.1 23.0 16.8 18.2 10.8 14.8 17.2 30.3 17.4 34.5 30.8 27.8 27.5 27.3 21.6 21.1 17.4 12.9 17.3 Mental disability 1.7 3.4 2.9 3.5 2.5 2.7 3.2 2.5 2.4 4.4 2.9 2.8 1.6 1.6 2.6 2.0 2.2 2.3 2.2 1.9 3.5 1.9 2.7 2.7 2.5 2.3 5.7 4.0 3.3 4.1 3.9 2.7 2.1 2.5 2.9 1.5 1.3 0.8 1.4 1.2 2.6 Mute 2.3 4.6 3.2 4.7 4.8 4.7 5.4 4.4 4.5 5.6 4.7 4.9 3.7 3.8 4.1 3.8 5.9 3.8 3.3 4.7 4.9 4.7 5.0 4.7 3.6 4.1 7.3 5.1 5.3 4.8 4.8 5.4 3.8 4.1 4.8 2.8 3.5 3.3 3.9 4.7 4.6 speaking Difficulty in 5 9 11 7.7 8.8 8.5 8.6 8.1 9.1 8.8 9.1 8.3 9.9 9.8 4.9 5.5 8.0 5.8 7.2 3.2 7.2 6.8 8.6 9.0 5.7 4.0 4.9 4.0 4.3 4.6 4.6 5.6 7.6 8.6 13.0 12.5 15.4 10.6 12.9 15.7 18.6 Blind 15 44 8.6 9.0 26.2 28.1 27.2 26.8 26.6 25.3 21.0 28.1 26.6 28.3 26.7 27.7 26.1 22.8 23.1 26.8 27.1 22.4 23.1 31.6 29.6 21.1 26.6 27.1 22.9 30.7 10.6 11.7 13.9 18.4 22.6 29.9 34.7 41.7 42.2 49.7 26.7 Difficulty in seeing 2.7 5.7 2.7 2.6 3.7 3.5 4.7 3.6 3.5 2.8 3.7 3.9 2.4 2.1 3.6 2.5 3.8 3.3 2.5 2.5 3.6 4.3 3.7 4.2 2.6 2.8 2.6 4.1 5.2 6.3 4.7 3.3 4.1 2.6 4.1 2.9 2.9 2.7 3.1 2.3 3.5 Deaf 12 14 9.3 9.2 7.7 9.0 9.2 8.9 6.7 9.3 8.3 8.7 10.9 12.1 11.2 12.8 12.3 11.4 12.4 12.3 12.0 10.0 10.7 11.9 13.8 10.1 14.2 12.5 11.3 13.2 13.7 12.8 11.5 10.4 11.1 10.7 12.6 12.3 15.3 16.5 11.7 hearing Difficult in 2 1 .9 1.4 3.0 1.4 2.8 2.1 2.3 2.2 1.6 2.2 1.6 1.7 2.2 2.0 1.2 2.6 1.2 1.4 1.7 1.5 1.6 1.0 2.2 2.1 2.2 2.0 1.9 1.7 2.3 1.9 2.8 1.7 3.3 2.2 2.5 1.9 2.3 1.3 2.0 arms Loss of Loss 12 13 4.8 5.4 4.7 6.1 9.2 5.4 7.1 8.9 6.4 9.0 9.6 9.7 7.1 7.6 8.3 8.8 9.6 7.8 7.4 6.1 5.5 23.1 11.7 10.3 11.1 11.2 10.0 10.0 22.3 10.2 21.2 13.8 14.8 15.1 14.4 12.9 14.3 13.2 10.7 of arms Limited use 3.1 4.8 5.2 7.3 3.9 4.8 4.0 3.4 4.2 2.9 3.9 4.4 6.7 3.2 6.1 4.0 3.4 3.1 4.4 3.4 4.7 4.0 4.2 4.0 2.6 4.1 4.0 3.6 4.5 4.7 4.6 4.6 4.7 5.8 4.2 5.2 3.3 3.5 3.2 2.7 4.1 Loss of leg Loss 27 27 19 32.3 12.1 19.5 13.3 23.6 23.5 16.6 22.3 23.4 21.1 22.2 20.2 15.5 35.0 20.3 25.8 20.8 27.6 25.1 29.1 19.8 33.9 25.4 19.4 16.6 20.8 26.0 26.2 23.6 24.1 24.7 27.4 21.7 22.3 19.3 18.5 18.4 22.9 legs Limited use of Upper Nile Southern Sudan Jonglei Urban Unity Rural Male Warrap Female Male Northern Bahr El Ghazal Female Never attended school Western Bahr El Ghazal Western No qualifications Lakes Primary Western Equatoria Western Secondary or higher Employee Paid Central Equatoria Employer Eastern Equatoria Own Account Worker Unpaid Family Worker Unpaid Family Unpaid working for others Not Working 0-5 6- 9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65+ - Background characteristics State Urban/rural Sex Sex of household head Sex Educational attainment of household head Occupational status of house hold head Age group Table 3-7: Kind of disability by background characteristics. Percentage of disabled population. 3-7: Kind of disability by background characteristics. Percentage Table and Housing Census, 2008. “Note: Individuals may suffer from more than one kind of disability” Source: 5th Sudan Population

70 4. Education

Table 4-1: Literacy rates by background characteristics. Percentage of population aged 6 and above.

Literacy rate Background characteristics 6 Years and 10 Years and 15 Years and aged 15-24 above above above Urban/rural Southern Sudan 29.0 29.3 26.8 36.7 Urban 50.7 51.2 48.0 61.5 Rural 24.4 24.5 22.1 30.9 State Upper Nile 32.5 31.9 27.9 41.6 Jonglei 21.5 21.2 19.0 25.2 Unity 21.9 22.6 19.9 28.2 Warrap 12.9 13.5 12.5 18.1 Northern Bahr El Ghazal 22.8 23.9 20.7 35.3 Western Bahr El Ghazal 38.2 38.0 34.7 45.4 Lakes 18.4 18.7 16.2 25.2 Western Equatoria 48.3 48.3 44.8 58.9 Central Equatoria 58.4 58.2 54.7 66.6 Eastern Equatoria 18.5 18.7 17.5 23.2 Age group 6-9 27.8 ------10-14 39.5 39.5 -- -- 15-24 36.7 36.7 36.7 36.7 25-34 26.5 26.5 26.5 -- 35-44 21.0 21.0 21.0 -- 45-54 17.3 17.3 17.3 -- 55-64 13.1 13.1 13.1 -- 65+ 10.8 10.8 10.8 -- Sex Male 35.1 36.4 34.8 44.1 Female 22.9 22.3 19.1 29.6 Educational attainment of Never attended school 15.5 14.9 11.5 23.2 household head No qualiﬁcations 67.1 69.5 69.3 69.1 Primary 69.9 71.9 70.4 73.6 Secondary or higher 76.6 77.9 76.7 79.3 Sex of household head Male 31.3 31.5 29.2 38.6 Female 25.4 25.6 22.5 33.8 Occupational status of house- Paid Employee 59.1 59.9 57.0 67.4 hold head Employer 42.3 42.8 40.3 49.3 Own Account Worker 24.2 24.1 21.4 31.5 Unpaid Family Worker 20.9 21.0 18.6 27.8 Unpaid working for 27.3 27.3 24.7 30.0 others Not Working 32.4 32.6 30.2 42.0 Source: 5th Sudan Population and Housing Census, 2008.

71 Table 4-2: Gross attendance ratio by background characteristics. Percentage of school age population.

Background characteristics 6-13 years old in primary 14-16 years old in secondary Urban/Rural Southern Sudan 52.5 27.6 Urban 91.8 57.9 Rural 45.0 21.3 State Upper Nile 64.9 26.5 Jonglei 41.8 18.2 Unity 38.5 10.4 Warrap 22.4 9.6 Northern Bahr El Ghazal 44.9 10.9 Western Bahr El Ghazal 67.4 35.8 Lakes 37.5 21.8 Western Equatoria 97.8 52.0 Central Equatoria 96.5 70.0 Eastern Equatoria 33.2 16.3 Sex Male 58.0 34.9 Female 46.2 19.3 Educational attainment of household head Never attended school 36.9 13.4 No qualiﬁcations 101.3 34.4 Primary 106.0 91.4 Secondary or higher 112.7 94.5 Sex of household head Male 56.2 32.1 Female 47.3 21.1 Occupational status of household head Paid Employee 99.6 69.4 Employer 74.9 38.2 Own Account Worker 46.9 21.1 Unpaid Family Worker 37.7 17.8 Unpaid working for others 50.7 16.6 Not Working 65.0 34.9 Source: 5th Sudan Population and Housing Census, 2008. Table 4-3: Net attendance ratio by background characteristics. Percentage of school age population

Background characteristics 6-13 years old in primary 14-16 years old in secondary

Urban/Rural Southern Sudan 30.7 3.2 Urban 53.5 6.4 Rural 26.4 2.6 State Upper Nile 38.6 2.9 Jonglei 24.2 1.3 Unity 20.0 0.6 Warrap 10.6 0.5 Northern Bahr El Ghazal 22.7 0.4 Western Bahr El Ghazal 41.8 4.8 Lakes 20.4 2.5 Western Equatoria 54.6 4.1 Central Equatoria 64.4 11.0 Eastern Equatoria 19.3 2.4 Sex Male 32.7 3.5 Female 28.5 2.8 Educational attainment of household head Never attended school 21.6 1.7 No qualiﬁcation 50.8 3.4 Primary 64.7 7.3 Secondary or higher 71.8 13.4 Sex of household head Male 33.0 3.6 Female 27.6 2.6

72 Occupational status of household head Paid Employee 60.0 8.7 Employer 42.9 3.4 Own Account Worker 27.1 2.4 Unpaid Family Worker 22.8 2.2 Unpaid working for others 28.9 2.0 Not Working 34.7 3.0 Source: 5th Sudan Population and Housing Census, 2008.

Table 4-4: School attendance by background characteristics. Percentage of population aged 6 and above.

School Attendance Background characteristics Previously Currently Attending Never Attended Total Attended Urban/Rural Southern Sudan 18.5 10.5 71.0 100 Urban 31.2 19.6 49.3 100 Rural 15.8 8.6 75.6 100 State Upper Nile 23.0 9.5 67.5 100 Jonglei 14.5 7.0 78.5 100 Unity 13.9 8.0 78.1 100 Warrap 7.8 5.1 87.1 100 Northern Bahr El Ghazal 15.1 7.8 77.2 100 Western Bahr El Ghazal 23.3 14.9 61.8 100 Lakes 13.3 5.2 81.6 100 Western Equatoria 29.4 18.9 51.7 100 Central Equatoria 34.4 24.0 41.6 100 Eastern Equatoria 12.0 6.5 81.5 100 Age group 6-9 25.5 2.3 72.2 100 10-14 37.3 2.2 60.5 100 15-24 27.2 9.5 63.3 100 25-34 8.2 18.2 73.5 100 35-44 1.5 19.6 79.0 100 45-54 0.7 16.5 82.7 100 55-64 -- 13.1 86.9 100 65+ -- 10.8 89.2 100 Sex Male 22.2 12.9 64.9 100 Female 14.8 8.1 77.1 100 Educational attainment of 12.6 2.9 84.5 100 household head No qualiﬁcations 31.5 35.6 32.9 100 Primary 38.1 31.8 30.1 100 Secondary or higher 41.2 35.4 23.4 100 Sex of household head Male 19.0 12.3 68.7 100 Female 17.8 7.6 74.6 100 Occupational status of Paid Employee 35.0 24.1 40.9 100 household head Employer 25.3 17.0 57.7 100 Own Account Worker 16.1 8.1 75.8 100 Unpaid Family Worker 13.9 7.1 79.1 100 Unpaid working for others 16.5 10.8 72.7 100 Not Working 20.5 11.8 67.6 100 Source: 5th Sudan Population and Housing Census, 2008.

Table 4-5: School attendance by background characteristics. Percentage of population aged 15 and above

School Attendance Background characteristics Currently Previously Never Total Attending Attended Attended Urban/Rural Southern Sudan 12.3 14.5 73.2 100 Urban 21.1 26.8 52.0 100 Rural 10.3 11.8 77.9 100

73 State Upper Nile 14.7 13.1 72.1 100 Jonglei 9.8 9.3 81.0 100 Unity 9.9 10.0 80.1 100 Warrap 6.1 6.4 87.5 100 Northern Bahr El Ghazal 10.6 10.1 79.3 100 Western Bahr El Ghazal 14.3 20.4 65.3 100 Lakes 9.5 6.8 83.8 100 Western Equatoria 19.2 25.6 55.2 100 Central Equatoria 20.7 34.0 45.3 100 Eastern Equatoria 8.1 9.4 82.5 100 Sex Male 16.3 18.6 65.2 100 Female 8.5 10.7 80.9 100 Educational attainment of household Never attended school 7.8 3.8 88.5 100 head No qualiﬁcations 22.5 46.7 30.7 100 Primary 25.9 44.5 29.6 100 Secondary or higher 28.3 48.4 23.3 100 Sex of household head Male 12.5 16.7 70.8 100 Female 11.9 10.6 77.5 100 Occupational status of household Paid Employee 23.7 33.3 43.0 100 head Employer 17.2 23.2 59.7 100 Own Account Worker 10.4 11.0 78.6 100 Unpaid Family Worker 8.7 9.8 81.4 100 Unpaid working for others 10.2 14.5 75.3 100 Not Working 14.5 15.7 69.8 100

Source: 5th Sudan Population and Housing Census, 2008.

Table 4-6: Educational attainment by background characteristics. Percentage of population aged 6 and above.

Educational attainment Background characteristics Never attended Secondary No qualiﬁcation Primary Total school or higher Urban/Rural Southern Sudan 71.0 20.3 4.6 4.1 100 Urban 49.3 31.6 8.9 10.3 100 Rural 75.6 17.9 3.7 2.8 100 State Upper Nile 67.5 25.3 3.7 3.5 100 Jonglei 78.5 15.3 2.7 3.4 100 Unity 78.1 19.0 1.6 1.2 100 Warrap 87.1 10.6 1.3 1.0 100 Northern Bahr El 77.2 19.2 2.3 1.4 100 Ghazal Western Bahr El Ghazal 61.8 26.9 5.7 5.6 100 Lakes 81.6 13.5 2.4 2.5 100 Western Equatoria 51.7 32.4 11.0 4.9 100 Central Equatoria 41.6 34.4 12.0 12.0 100 Eastern Equatoria 81.5 11.7 3.5 3.3 100 Age group 6-9 72.2 27.8 -- -- 100 10-14 60.5 39.1 0.4 -- 100 15-24 63.3 24.9 7.7 4.1 100 25-34 73.5 10.9 7.0 8.5 100 35-44 79.0 6.3 6.9 7.9 100 45-54 82.7 5.4 5.2 6.7 100 55-64 86.9 4.6 5.0 3.5 100 65+ 89.2 4.5 3.9 2.4 100 Sex Male 64.9 23.2 6.2 5.7 100 Female 77.1 17.4 3.1 2.4 100 Educational attainment of Never attended school 84.5 12.9 1.6 1.0 100 household head No qualiﬁcations 32.9 60.4 4.1 2.6 100 Primary 30.1 35.5 29.5 4.9 100 Secondary or higher 23.4 34.9 10.1 31.6 100 Sex of household head Male 68.7 20.8 5.4 5.0 100 Female 74.6 19.5 3.3 2.5 100

74 Occupational status of house- Paid Employee 40.9 34.3 10.7 14.0 100 hold head Employer 57.7 27.7 6.2 8.4 100 Own Account Worker 75.8 18.2 3.6 2.3 100 Unpaid Family Worker 79.1 16.0 3.1 1.8 100 Unpaid working for 72.7 20.9 3.6 2.9 100 others Not Working 67.6 21.9 5.6 4.9 100 Source: 5th Sudan Population and Housing Census, 2008.

Table 4-7: Educational attainment by background characteristics. Percentage of population aged 15 and above.

Educational attainment Background characteristics Never attended Secondary No qualiﬁcation Primary Total school or higher Urban/Rural Southern Sudan 73.2 13.9 6.8 6.1 100 Urban 52.0 20.8 12.5 14.6 100 Rural 77.9 12.4 5.5 4.2 100 State Upper Nile 72.1 17.1 5.5 5.3 100 Jonglei 81.0 10.0 4.0 5.1 100 Unity 80.1 15.5 2.5 1.9 100 Warrap 87.5 9.0 2.0 1.5 100 Northern Bahr El 79.3 15.2 3.4 2.1 100 Ghazal Western Bahr El Ghazal 65.3 18.3 8.2 8.2 100 Lakes 83.8 9.0 3.5 3.7 100 Western Equatoria 55.2 22.9 15.1 6.8 100 Central Equatoria 45.3 20.3 17.1 17.3 100 Eastern Equatoria 82.5 7.4 5.2 5.0 100 Sex Male 65.2 16.7 9.3 8.8 100 Female 80.9 11.2 4.4 3.5 100 Educational attainment of Educational attainment 88.5 7.7 2.3 1.5 100 household head of household head No qualiﬁcation 30.7 59.7 5.9 3.7 100 Primary 29.6 20.9 42.4 7.1 100 Secondary or higher 23.3 18.2 13.9 44.6 100 Sex of household head Sex of household head 70.8 14.2 7.8 7.3 100 Female 77.5 13.5 5.1 3.9 100 Occupational status of Paid Employee 43.0 21.7 15.2 20.1 100 household head Employer 59.7 19.3 8.8 12.2 100 Own Account Worker 78.6 12.7 5.3 3.5 100 Unpaid Family Worker 81.4 11.0 4.7 2.8 100 Unpaid working for 75.3 15.3 5.2 4.2 100 others Not Working 69.8 15.5 7.8 6.9 100 Source: 5th Sudan Population and Housing Census, 2008.

Table 4-8: Educational attainment by background characteristics. Percentage of population age 6 and above who have ever attended school.

75 Northern Bahr El 22.8 22.0 61.6 9.0 1.0 4.4 1.6 0.3 100 Ghazal Western Bahr El 38.2 18.1 51.2 11.9 3.1 8.6 6.0 1.1 100 Ghazal Lakes 18.4 12.5 60.9 12.2 .9 10.6 3.0 0 100 Western 48.3 15.6 51.6 19.3 3.4 8.7 1.5 0 100 Equatoria Central Equatoria 58.4 12.7 46.1 17.7 2.8 14.7 5.8 0.1 100 Eastern 18.5 9.3 54.1 16.3 2.5 13.5 4.3 0 100 Equatoria Age group 6-9 27.8 8.1 91.8 ------0.0 100 10-14 39.5 5.3 93.8 .9 ------0.0 100 15-24 36.7 13.9 53.9 21.0 -- 9.2 1.9 0.1 100 25-34 26.5 27.1 13.7 23.4 3.2 22.7 9.5 0.4 100 35-44 21.0 29.1 -- 22.8 9.7 25.0 12.3 1.0 100 45-54 17.3 30.2 -- 19.7 10.4 23.5 15.1 1.1 100 55-64 13.1 33.8 -- 27.9 10.0 14.6 12.2 1.5 100 65+ 10.8 41.1 -- 25.0 10.9 13.8 8.4 0.8 100 Sex Male 35.1 13.6 52.1 15.2 2.4 11.3 5.0 0.4 100 Female 22.9 19.3 56.5 11.9 1.5 8.0 2.7 0.1 100 Educational Never attended 15.5 10.6 72.7 9.7 0.6 4.8 1.5 0.1 100 attainment school of household head No qualiﬁcation 67.1 46.6 42.2 5.8 0.4 2.9 0.9 1.2 100 Primary 69.9 8.3 42.4 33.8 8.4 5.4 1.6 0.1 100 Secondary or 76.6 6.6 39.0 12.1 1.0 28.2 13.0 0.1 100 higher Sex of Male 31.3 15.8 50.3 14.9 2.5 11.4 4.7 0.4 100 household Female 25.4 15.9 60.9 11.8 1.3 7.2 2.8 0.1 100 head Occupational Paid Employee 59.1 11.3 46.3 15.4 2.7 15.3 8.5 0.4 100 status of household Employer 42.3 14.5 49.9 12.1 2.5 14.4 5.6 1.0 100 head Own Account 24.2 17.4 57.7 13.3 1.7 7.4 2.2 0.2 100 Worker Unpaid Family 20.9 18.3 57.9 13.2 1.7 7.1 1.7 0.2 100 Worker Unpaid working 27.3 23.0 53.2 10.9 2.3 7.8 2.7 0.1 100 for others Not Working 32.4 15.2 52.2 15.0 2.3 10.7 4.4 0.2 100 Source: 5th Sudan Population and Housing Census, 2008.

Table 4-9: Education attainment by background characteristics. Percentage of population age 15 and above who have ever attended school

Background characteristics Ever Educational attainment attended No Incomplete Primary Junior Secondary Post Khalwa Total school qualiﬁcation primary 3-4 secondary (previously) (currently) Urban/Rural Southern Sudan 26.8 21.5 30.0 22.0 3.3 16.1 6.6 0.4 100 Urban 48.0 16.9 25.8 22.6 3.6 19.9 10.6 0.6 100 Rural 22.1 23.7 32.1 21.8 3.2 14.2 4.7 0.4 100 State Upper Nile 27.9 23.9 35.5 17.7 2.0 10.6 8.2 2.1 100 Jonglei 19.0 17.1 35.1 18.7 2.3 17.8 8.8 0.1 100 Unity 19.9 36.6 41.0 11.3 1.3 7.5 2.2 0.1 100 Warrap 12.5 34.6 37.6 14.4 1.5 8.0 3.9 0 100 Northern Bahr El 20.7 28.8 44.1 15.0 1.6 7.3 2.7 0.5 100 Ghazal Western Bahr El 34.7 25.0 26.0 18.7 4.9 13.9 9.7 1.6 100 Ghazal Lakes 16.2 15.5 40.0 20.0 1.5 17.8 5.0 0.1 100 Western 44.8 22.0 29.0 28.7 5.1 13.0 2.2 0 100 Equatoria Central Equatoria 54.7 18.3 18.6 26.8 4.4 22.8 8.9 0.2 100

76 Eastern 17.5 12.6 29.6 25.6 4.0 21.5 6.8 0 100 Equatoria Sex Male 34.8 17.6 29.8 23.1 3.7 17.4 7.7 0.6 100 Female 19.1 28.2 30.4 20.2 2.6 13.7 4.7 0.2 100 Educational Never attended 11.5 16.3 50.5 19.2 1.1 9.7 3.1 0.2 100 attainment school of household No qualiﬁcation 69.3 58.6 26.0 7.9 .6 4.1 1.3 1.6 100 head Primary 70.4 10.0 19.6 48.1 12.1 7.8 2.3 0.1 100 Secondary or 76.7 7.3 16.3 16.6 1.4 39.8 18.4 0.1 100 higher Sex of Male 29.2 21.0 27.0 22.7 3.8 17.6 7.3 0.6 100 household Female 22.5 22.7 37.0 20.4 2.2 12.6 4.9 0.2 100 head Occupational Paid Employee 57.0 14.8 22.6 22.5 4.1 22.6 12.7 0.7 100 status of Employer 40.3 18.3 28.0 18.1 3.8 21.8 8.5 1.5 100 household Own Account 21.4 24.4 34.3 22.0 2.9 12.4 3.7 0.3 100 head Worker Unpaid Family 18.6 26.1 32.9 22.6 2.9 12.4 2.9 0.3 100 Worker Unpaid working 24.7 31.9 29.9 17.2 3.7 12.8 4.4 0.1 100 for others Not Working 30.2 19.9 31.2 22.4 3.4 16.1 6.6 0.3 100 Source: 5th Sudan Population and Housing Census, 2008.

77 78 5. Economic Activity

Table 5-1: Labour force participation rate by background characteristics. Population aged 10 and above and population aged 15 and above. Labour force participation rate - population aged Labour force participation rate- Background characteristics 10 and above population aged 15 and above Total Male Female Total Male Female Urban/rural Southern Sudan 71 73 69 74 77 72 Urban 64 67 62 69 72 65 Rural 72 74 71 75 78 73 Age group 10-14 58 58 59 ------15-24 65 63 66 65 63 66 25-34 79 82 76 79 82 76 35-44 85 90 80 85 90 80 45-54 84 90 78 84 90 78 55-64 78 85 69 78 85 69 65+ 52 62 39 52 62 39 Educational Never attended school 76 80 74 77 81 74 attainment Currently attending 41 42 40 45 46 44 school No qualiﬁcations 77 82 70 77 84 71 Primary 84 89 74 84 89 74 Secondary 88 91 80 88 91 80 Sex of household Male 71 77 64 74 81 65 head Female 70 62 76 74 64 79 Educational Never attended school 72 73 72 75 77 73 attainment of No qualiﬁcations 70 73 66 73 78 69 household head Primary 66 71 61 70 76 64 Secondary or higher 64 68 58 69 74 63 Occupational Paid Employee 65 69 61 71 76 65 status of Employer 77 80 73 81 85 76 household head Own Account Worker 66 69 64 70 73 66 Unpaid Family Worker 85 84 85 88 88 88 Unpaid working for 84 86 82 87 89 84 others Not Working 53 52 53 53 53 53 State Upper Nile 72 76 68 76 81 70 Jonglei 70 73 67 72 76 68 Unity 78 78 79 81 81 81 Warrap 76 75 76 78 78 78 Northern Bahr El 69 68 70 72 71 73 Ghazal Western Bahr El 68 72 64 71 77 65 Ghazal Lakes 66 66 66 69 70 69 Western Equatoria 65 70 60 69 75 63 Central Equatoria 65 68 62 70 73 66 Eastern Equatoria 80 80 80 82 82 83 Source: 5th Sudan Population and Housing Census, 2008.

79 Table 5-2: Unemployment rate by background characteristics. Population aged 10 and above and population aged 15 and above.

Unemployment rate - population aged 10 and Unemployment rate - population aged Background characteristics above 15 and above Total Male Female Total Male Female Urban/rural Southern Sudan 14 13 15 12 11 13 Urban 13 12 15 12 10 14 Rural 14 13 15 12 11 13 Age group 10-14 22 22 22 ------15-24 19 20 17 19 20 17 25-34 12 10 13 12 10 13 35-44 9 7 11 9 7 11 45-54 8 6 10 8 6 10 55-64 8 6 10 8 6 10 65+ 2 2 2 2 2 2 Educational Never attended school 14 14 15 13 12 14 attainment Currently attending 16 15 17 15 15 16 school No qualiﬁcations 10 9 12 9 8 11 Primary 8 7 11 8 7 11 Secondary or higher 8 7 12 8 7 12 Sex of household Male 14 11 19 13 9 18 head Female 13 18 10 11 18 9 Educational Never attended school 15 14 15 13 12 14 attainment of No qualiﬁcations 10 9 12 9 8 11 household head Primary 11 9 14 10 8 13 Secondary or higher 11 9 14 10 8 13 Occupational Paid Employee 11 9 13 10 8 13 status of Employer 7 7 7 7 7 7 household head Own Account Worker 21 19 23 18 16 21 Unpaid Family Worker 5 5 5 5 5 4 Unpaid working for 8 8 9 6 5 7 others Not Working 22 22 22 22 22 21 State Upper Nile 18 16 21 16 13 20 Jonglei 22 21 24 20 18 22 Unity 17 15 18 14 13 15 Warrap 10 10 10 9 9 9 Northern Bahr El 17 17 17 15 15 15 Ghazal Western Bahr El 7 6 8 6 5 7 Ghazal Lakes 14 13 15 12 11 13 Western Equatoria 13 10 17 13 10 16 Central Equatoria 10 9 11 9 8 10 Eastern Equatoria 5 5 5 4 5 4 Source: 5th Sudan Population and Housing Census, 2008.

80 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total Total 0 0.9 1.9 4.5 5.2 3.1 1.3 1.1 0.8 1.2 2.1 2.6 2.3 1.0 0.8 5.3 0.5 2.6 1.6 Armed forces occupations Armed forces occupations 9.6 12.0 4.2 5.3 7.0 4.3 5.7 5.5 6.0 7.0 9.6 11.6 11.3 12.0 24.9 10.0 12.9 11.3 10.5 Elementary occupations Elementary occupations 0 0.4 0.6 2.4 2.1 1.3 0.7 0.2 0.4 0.3 0.4 0.6 0.8 0.6 0.2 2.0 0.2 0.8 0.5 Plant/machine operators, and assemblers Plant/machine operators, and assemblers 6.0 4.4 3.2 3.1 1.3 1.6 1.7 1.8 2.1 2.2 2.2 1.2 1.3 5.0 1.3 2.6 1.7 2.1 1.9 Craft and other trades workers Craft and other trades workers 24.6 46.8 55.9 50.1 64.3 79.9 74.3 69.3 63.8 58.7 55.6 48.3 65.4 31.6 58.8 60.7 61.5 58.7 59.8 Skilled agricultural, forestry and fishery Skilled agricultural, forestry and fishery 8.2 18.1 19.1 23.1 24.8 20.0 10.6 13.0 17.7 21.9 25.8 24.0 18.3 31.7 26.5 15.0 20.1 20.9 20.6 Major occupational group Major occupational group workers workers Service and sales Service and sales 3.1 1.1 0.5 1.1 0.4 0.1 0.5 0.6 0.7 0.8 0.5 0.7 0.4 1.7 0.4 0.8 0.5 0.7 0.6 workers workers Clerical support Clerical support .9 7.5 3.7 3.2 0.5 1.3 1.7 2.0 2.3 2.3 1.3 1.3 4.1 1.3 2.1 1.3 2.0 1.7 10.3 Technicians Technicians Technicians professionals professionals and associate and associate 0 7.0 1.4 3.4 0.3 1.6 1.9 3.2 3.3 3.3 0.9 1.6 4.4 1.1 3.0 1.2 2.6 2.1 22.6 Professionals Professionals 0 .3 4.4 1.5 0.8 0.6 0.4 1.8 2.1 1.9 0.9 0.6 0.2 0.6 1.4 1.1 0.4 0.9 0.7 Managers Managers Secondary or higher Primary No qualifications Currently attending school Never attended school 65+ 55-64 45-54 35-44 25-34 15-24 10-14 Rural Urban Female Male Southern Sudan Female Male Background characteristics Background characteristics Educational attainment Age group Urban/rural Sex Sex of household head Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 5-3: Main occupational type by background characteristics. Percentage of population aged 10 and above who worked previously. 5-3: Main occupational type by background characteristics. Percentage Table of population aged 10 and above who worked previously ctd. 5-3: Main occupational type by background characteristics. Percentage Table

81 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 1.1 3.2 0.6 1.7 3.2 2.2 0.7 1.2 1.1 1.6 3.5 3.1 2.3 1.1 2.1 1.3 1.0 6.0 0.6 3.0 1.8 Armed forces occupations 4.7 2.6 6.6 9.6 9.5 8.1 7.3 7.6 7.6 8.5 7.4 7.6 8.2 7.9 22.8 10.9 11.0 10.1 11.3 11.4 10.5 Elementary occupations 0.2 1.5 0.5 0.2 1.0 0.2 0.1 0.3 0.2 0.9 1.7 1.3 0.9 0.3 1.2 0.3 0.2 2.3 0.2 1.0 0.6 Plant/machine operators, and assemblers .6 1.2 3.9 2.3 1.4 6.5 2.2 1.6 1.6 1.5 4.9 3.3 2.8 1.4 3.4 1.4 1.5 5.1 1.2 2.9 2.1 Craft and related trades workers 60.6 59.3 78.0 52.4 44.0 59.4 64.6 59.7 60.3 51.2 30.9 51.5 56.3 64.1 49.0 67.3 68.1 31.9 61.3 62.3 61.8 Skilled agricultural, forestry and ﬁshery 10.9 18.1 10.4 33.0 28.0 20.8 20.5 24.5 21.4 28.1 24.9 22.2 24.0 19.6 24.5 19.5 17.5 31.9 25.5 14.6 19.9 Major occupational group workers Service and sales .5 0.4 1.1 0.5 0.6 0.8 0.5 0.2 0.4 1.1 0.5 2.3 1.2 0.6 0.4 1.5 0.3 0.4 1.6 0.8 0.6 workers Clerical support 1.0 3.0 2.0 1.2 1.7 1.5 1.3 1.0 1.9 2.2 7.1 4.7 2.8 0.8 4.3 0.5 1.4 4.2 1.4 2.4 1.9 Technicians Technicians professionals and associate 1.4 4.1 2.3 1.6 3.1 1.2 0.8 1.2 2.5 2.3 4.4 1.9 0.6 5.4 0.4 1.9 5.0 1.3 3.5 2.5 13.6 Professionals .4 0.3 1.1 0.7 1.3 0.8 0.8 0.5 0.6 0.9 0.3 2.9 1.0 0.8 0.4 1.0 0.5 0.7 1.6 1.3 0.8 Managers Eastern Equatoria Central Equatoria Western Western Equatoria Lakes Western Bahr El Western Ghazal Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Secondary or higher Primary No qualiﬁcations Never attended school Currently attending school Never attended school Rural Urban Female Male Southern Sudan Background characteristics State Educational attainment of household head Educational attainment Urban/rural Sex Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 5-4: Main occupational type by background characteristics. Percentage of population aged 15 and above who worked previously. 5-4: Main occupational type by background characteristics. Percentage Table

82 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 4.5 5.2 3.3 1.4 3.6 0.6 2.0 3.7 2.6 0.8 1.5 1.3 1.9 3.9 3.5 2.6 1.3 1.1 2.3 Armed forces occupations 4.2 5.2 6.0 4.2 2.4 5.3 8.9 9.5 7.3 4.0 5.5 8.6 6.6 6.0 5.8 8.5 9.0 7.2 19.6 Elementary occupations 2.4 2.1 1.4 0.3 1.8 0.6 0.2 1.2 0.3 0.2 0.3 0.2 1.1 2.0 1.5 1.0 0.3 0.4 0.7 Plant/machine operators, and assemblers .6 6.0 4.4 3.2 1.4 4.2 2.3 1.3 5.5 2.5 1.8 1.8 1.7 5.1 3.5 2.9 1.5 1.7 2.3 Craft and related trades workers 24.6 46.9 56.8 62.7 58.1 77.1 55.8 45.9 60.6 67.8 64.8 64.7 52.6 29.6 50.6 57.6 67.2 64.6 60.3 Skilled agricultural, forestry and fishery 18.1 19.1 22.6 10.8 17.6 10.7 29.9 27.2 19.8 19.2 23.7 20.9 28.5 24.1 22.0 23.3 18.9 19.2 20.4 Major occupational group workers Service and sales 3.1 1.1 0.5 0.5 1.3 0.6 0.7 0.9 0.6 0.3 0.5 0.5 0.6 2.5 1.3 0.6 0.4 0.5 0.7 workers Clerical support 7.5 3.8 1.2 3.4 2.3 1.4 2.0 1.7 1.1 1.2 2.2 2.0 7.7 5.3 3.0 0.7 1.4 2.1 10.3 Technicians Technicians professionals and associate 7.0 1.5 1.7 4.7 2.6 1.9 3.6 1.4 1.0 1.5 3.0 2.7 5.0 2.2 0.7 1.5 3.0 22.6 15.2 Professionals 4.4 1.5 0.9 0.4 1.2 0.8 1.5 1.0 1.0 0.6 0.7 1.1 0.3 3.3 1.2 0.9 0.5 0.5 1.0 Managers Secondary or higher Primary No qualifications Eastern Equatoria Central Equatoria Western Western Equatoria Lakes Western Bahr El Western Ghazal Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Secondary or higher Primary No qualifications Never attended school Female Male Background characteristics State Educational attainment of household head Sex of household head Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 5-4: Main occupational type by background characteristics. Percentage of population aged 15 and above who worked previously ctd. 5-4: Main occupational type by background characteristics. Percentage Table

83 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total Total 4.2 6.8 6.2 8.0 9.6 8.0 12.8 16.1 18.0 12.2 15.6 20.3 25.6 17.0 13.5 25.4 17.6 16.4 15.7 Household production for own use/ Domestic personnel Household production for own use/ Domestic personnel 4.1 4.9 1.1 2.0 2.7 3.8 4.3 4.3 2.4 0.7 2.6 5.2 2.5 3.6 2.2 3.1 3.6 21.0 11.4 Education, health Education, and social work health Education, and social work 8.2 4.0 5.2 8.0 8.9 8.5 7.4 3.7 3.9 3.4 4.0 8.4 4.5 6.3 7.3 24.2 16.2 10.0 20.7 Public Public administration and defense; compulsory social security Public administration and defense; compulsory social security .9 8.9 4.4 2.3 2.9 1.1 1.2 1.6 2.0 2.2 1.6 1.2 1.2 4.4 1.4 2.0 1.4 1.7 1.9 Other service and professional/technical activities Other service and professional/technical activities 2.1 1.6 1.4 1.5 0.5 0.3 0.2 0.4 0.5 0.9 0.9 1.0 0.5 2.1 0.6 0.9 0.7 0.7 0.8 Industry Industry and storage and storage food service, food service, transportation transportation Accommodation, Accommodation, Accommodation, 5.7 3.1 3.5 4.6 6.4 8.1 9.0 6.3 5.2 5.5 8.4 6.4 7.0 7.4 10.2 10.2 10.9 11.6 15.9 trade and repair trade and repair Wholesale, retail Wholesale, retail of motor vehicles of motor vehicles .9 .8 .6 3.6 2.2 1.6 1.9 0.7 0.8 0.8 1.0 1.1 1.3 1.2 2.8 1.6 1.0 1.1 1.2 utilities supply utilities supply Construction and Construction and 1.7 1.7 1.3 1.0 0.8 0.7 0.7 0.8 1.0 1.1 1.0 0.3 0.7 1.7 1.0 0.7 0.9 0.9 0.9 Manufacturing Manufacturing 24.1 45.4 55.5 51.9 68.3 80.7 74.7 69.4 64.0 58.9 59.9 60.2 68.6 33.7 59.0 66.4 65.3 62.8 61.3 Agriculture, fishing forestry, and mining Agriculture, fishing forestry, and mining Secondary or higher Primary No qualifications Currently attending school Never attended school 65+ 55-64 45-54 35-44 25-34 15-24 10-14 Rural Urban Female Male Female Southern Sudan Male Background characteristics Background characteristics Educational attainment Age group Urban/rural Sex Sex of household head Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 5-5: Industry aggregates by background characteristics. Percentage of population aged 10 and above in work or who worked previously. of population aged 10 and above in work or who worked previously. 5-5: Industry aggregates by background characteristics. Percentage Table of population aged 10 and above in work or who worked previously ctd. 5-5: Industry aggregates by background characteristics. Percentage Table

84 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 5.6 6.5 20.4 15.2 26.0 11.7 16.5 17.1 21.1 10.9 19.7 11.5 12.0 14.2 17.6 12.2 16.5 15.2 12.4 23.4 14.7 Household production for own use/ Domestic personnel 1.8 5.4 4.0 3.5 3.5 1.9 1.9 2.5 4.0 2.1 7.3 4.1 1.3 7.3 1.2 3.0 5.9 2.9 4.1 3.5 14.4 Education, health Education, and social work 3.3 8.6 3.3 6.2 6.4 3.3 5.8 6.7 8.7 4.1 4.1 3.6 4.0 9.2 6.7 12.6 10.0 19.2 11.4 10.0 21.5 Public Public administration and defense; compulsory social security 0.8 5.1 2.3 1.9 1.5 1.0 0.6 0.5 1.3 1.4 6.3 3.5 2.0 1.0 3.3 0.9 1.2 4.8 1.4 2.2 1.8 Other service and professional/technical activities 0.7 1.9 0.5 0.5 0.7 0.5 0.2 0.1 0.7 1.0 2.1 1.7 1.1 0.5 1.7 0.4 0.4 2.1 0.6 0.8 0.7 Industry and storage food service, transportation Accommodation, Accommodation, 3.2 7.8 4.0 5.5 8.9 5.9 5.3 9.0 8.5 9.9 5.9 5.9 5.3 5.5 8.7 7.2 17.1 11.1 10.9 12.7 16.1 trade and repair Wholesale, retail of motor vehicles .8 0.8 2.2 1.4 3.5 1.3 1.1 0.8 0.2 0.7 2.8 1.8 1.5 0.8 1.7 0.8 0.8 2.6 0.5 1.7 1.1 utilities supply Construction and 0.7 1.9 0.9 0.5 1.5 1.4 0.5 0.9 0.3 0.9 1.4 1.4 1.2 0.7 1.4 0.8 0.8 1.9 1.1 0.9 1.0 Manufacturing 68.1 51.9 78.1 55.2 47.9 62.0 69.5 63.0 67.1 55.7 31.2 50.9 56.3 68.1 49.7 69.4 69.7 32.7 60.6 65.9 63.3 Agriculture, ﬁshing forestry, and mining Eastern Equatoria Central Equatoria Western Western Equatoria Lakes Western Bahr El Western Ghazal Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Secondary or higher Primary No qualiﬁcations Never attended school Currently attending school Never attended school Rural Urban Female Male Southern Sudan Background characteristics State Educational attainment of household head Educational attainment Urban/rural Sex Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 5-6: Industry aggregates by background characteristics. Percentage of population aged 15 and above who worked previously. 5-6: Industry aggregates by background characteristics. Percentage Table

85 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 5.0 18.6 13.6 22.8 10.1 15.0 15.0 17.7 10.4 18.6 10.4 10.8 12.5 15.9 15.5 14.3 4.2 6.8 12.1 Household production for own use/ Domestic personnel 2.2 6.0 4.5 4.1 4.1 2.2 1.8 3.0 4.6 2.5 8.4 4.5 1.5 2.6 4.0 15.8 4.1 21.0 11.4 Education, health Education, and social work 4.1 9.5 3.7 7.2 7.0 3.9 6.0 5.8 9.8 9.2 4.2 4.9 7.7 14.7 20.4 12.3 24.2 16.2 10.4 Public Public administration and defense; compulsory social security 1.0 5.3 2.3 1.5 1.8 1.1 0.6 0.6 1.4 1.5 6.7 3.8 2.2 1.0 1.4 2.0 8.9 4.4 2.4 Other service and professional/technical activities 0.7 1.9 0.6 0.5 0.7 0.6 0.2 0.2 0.2 1.1 2.0 1.6 1.0 0.4 0.7 0.7 2.1 1.6 1.4 Industry and storage food service, transportation Accommodation, Accommodation, 3.5 7.8 4.4 4.9 9.4 6.0 5.1 8.9 9.2 6.0 6.5 7.5 16.4 10.9 10.2 11.1 10.2 10.2 11.1 trade and repair Wholesale, retail of motor vehicles 1.0 2.3 1.3 0.7 2.2 1.5 1.3 0.9 0.2 0.8 2.9 1.8 1.4 0.8 1.0 1.2 3.6 2.2 1.6 utilities supply Construction and 0.8 2.1 1.0 0.5 1.8 1.5 0.6 0.9 0.3 1.0 1.6 1.5 1.3 0.8 1.0 1.0 1.7 1.7 1.4 Manufacturing 68.1 51.4 77.2 57.9 48.3 61.6 70.7 65.6 68.2 55.5 29.4 49.6 56.6 69.4 66.5 61.5 24.1 45.5 55.5 Agriculture, fishing forestry, and mining Eastern Equatoria Central Equatoria Western Western Equatoria Lakes Western Bahr El Western Ghazal Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Secondary or higher Primary No qualifications Never attended school Female Male Secondary or higher Primary No qualifications Background characteristics State Educational attainment of household head Sex of household head Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 5-6: Industry aggregates by background characteristics. Percentage of population aged 15 and above who worked previously ctd. 5-6: Industry aggregates by background characteristics. Percentage Table

86 Table 5-7: Employment status by background characteristics. Percentage of population aged 10 and above who worked previously. Percent. Employment Status Background characteristics Paid Employee Employer Own Account Unpaid Family Unpaid Total Worker Worker Working for Others Sex Southern Sudan 11.7 2.4 33.3 47.1 5.5 100 Male 15.0 2.9 34.9 41.8 5.5 100 Female 8.2 2.0 31.5 52.7 5.6 100 Urban/rural Urban 35.2 5.4 30.7 26.0 2.8 100 Rural 7.0 1.9 33.8 51.3 6.1 100 Age group 10-14 4.6 1.6 13.3 71.3 9.2 100 15-24 9.6 2.3 27.5 54.0 6.6 100 25-34 15.9 2.7 36.3 41.3 3.8 100 35-44 15.2 2.7 40.6 37.3 4.2 100 45-54 13.7 2.8 43.3 35.4 4.7 100 55-64 10.7 2.6 47.4 34.9 4.4 100 65+ 6.9 2.2 57.3 29.9 3.7 100 Educational Never attended school 6.5 1.9 34.5 51.6 5.5 100 attainment Currently attending school 17.1 4.2 27.2 43.7 7.7 100 No qualiﬁcations 18.3 3.5 35.4 37.0 5.8 100 Primary 32.5 3.3 35.1 25.5 3.6 100 Secondary or higher 55.1 5.4 23.2 13.9 2.4 100 Sex of household Male 13.3 2.7 31.8 46.4 5.8 100 head Female 9.0 2.0 35.7 48.3 5.0 100 Educational Never attended school 6.9 1.9 34.4 51.1 5.7 100 attainment of No qualiﬁcations 16.5 3.1 34.9 38.8 6.6 100 household head Primary 23.2 3.1 30.4 39.0 4.3 100 Secondary or higher 40.1 5.8 24.1 26.1 3.9 100 Occupational Paid Employee 61.1 2.2 12.0 21.3 3.5 100 status of Employer 11.4 53.2 9.0 20.5 5.9 100 household head Own Account Worker 4.2 0.9 71.9 19.8 3.1 100 Unpaid Family Worker 2.0 0.5 4.3 91.6 1.5 100 Unpaid working for others 3.4 0.5 8.5 18.5 69.1 100 Not Working 18.3 2.6 20.8 53.6 4.8 100 State Upper Nile 15.3 6.4 29.1 41.3 8.0 100 Jonglei 9.3 2.7 40.3 39.4 8.2 100 Unity 9.0 5.4 33.1 40.8 11.7 100 Warrap 7.3 0.9 33.4 56.4 2.0 100 Northern Bahr El Ghazal 9.3 1.4 39.7 44.3 5.2 100 Western Bahr El Ghazal 29.0 8.8 28.9 32.3 1.0 100 Lakes 10.2 1.2 35.2 43.2 10.2 100 Western Equatoria 9.4 0.4 40.0 47.4 2.7 100 Central Equatoria 21.2 1.4 36.2 37.2 4.0 100 Eastern Equatoria 6.5 0.5 18.8 71.5 2.7 100 Source: 5th Sudan Population and Housing Census, 2008.

Table 5-8: Employment status by background characteristics. Percentage of population aged 15 and above who worked previously. Employment Status Background characteristics Paid Employee Employer Own Account Unpaid Family Unpaid Total Worker Worker Working for Others Sex Southern Sudan 13.0 2.6 36.9 42.7 4.9 100 Male 16.9 3.2 38.7 36.5 4.7 100 Female 8.9 2.0 34.9 49.2 5.0 100 Urban/rural Urban 37.5 5.3 33.3 21.6 2.2 100 Rural 7.9 2.0 37.6 47.1 5.4 100 Educational Never attended school 7.0 2.0 38.5 47.4 5.0 100 attainment Currently attending school 22.8 4.9 32.4 34.3 5.6 100 No qualiﬁcations 18.9 3.5 36.9 35.4 5.4 100

87 Primary 32.5 3.3 35.1 25.5 3.5 100 Secondary or higher 55.1 5.4 23.2 13.9 2.4 100 Sex of household Male 14.7 2.9 34.9 42.3 5.2 100 head Female 10.0 2.1 40.3 43.3 4.3 100 Educational Never attended school 7.6 2.0 38.6 46.7 5.1 100 attainment of No qualiﬁcations 18.0 3.4 37.8 35.1 5.7 100 household head Primary 25.6 3.3 32.7 34.6 3.8 100 Secondary or higher 43.5 5.9 24.7 22.7 3.2 100 Occupational Paid Employee 66.8 2.0 11.7 17.0 2.5 100 status of Employer 10.3 59.7 8.9 17.4 3.7 100 household head Own Account Worker 4.1 0.9 79.8 13.2 2.1 100 Unpaid Family Worker 2.2 0.5 4.1 92.1 1.1 100 Unpaid working for others 3.8 0.5 8.8 13.5 73.5 100 Not Working 21.2 2.8 22.5 49.2 4.3 100 State Upper Nile 16.9 6.5 33.2 35.5 7.9 100 Jonglei 10.5 2.9 44.6 34.7 7.3 100 Unity 10.4 6.3 39.6 34.6 9.1 100 Warrap 7.7 1.0 37.8 51.7 1.8 100 Northern Bahr El Ghazal 10.6 1.3 43.4 40.4 4.4 100 Western Bahr El Ghazal 29.1 9.6 32.0 28.5 0.8 100 Lakes 11.5 1.3 39.1 40.0 8.1 100 Western Equatoria 10.7 0.5 44.0 42.1 2.8 100 Central Equatoria 23.4 1.3 36.7 35.2 3.4 100 Eastern Equatoria 7.3 0.6 21.2 68.4 2.6 100 Source: 5th Sudan Population and Housing Census, 2008.

Table 5-9: Main reason for not seeking work by background characteristics. Percentage of people aged 10 and above who did not work and did not seek work in previous 7 days.

Reason For Economic Inactivity

Background characteristics No Hope Full-time Income Too Old Disabled/ Full-time Pensioner/ Total to Find Student Recipient Too Sick Homemaker Retired Job Sex Southern Sudan 29.2 31.4 1.5 2.4 3.3 30.4 1.8 100 Male 34.9 41.4 1.7 2.3 3.3 14.6 1.8 100 Female 24.2 22.7 1.4 2.5 3.3 44.2 1.7 100 Urban/rural Urban 23.6 44.6 1.6 1.7 2.1 24.4 1.9 100 Rural 30.8 27.7 1.5 2.6 3.6 32.0 1.7 100 Age group 10-14 27.9 52.8 2.3 0 1.7 15.4 0 100 15-24 28.4 42.0 1.5 0 2.0 26.1 0 100 25-34 34.5 11.4 1.1 0 3.5 49.5 0 100 35-44 35.1 1.1 1.0 0 6.7 56.1 0 100 45-54 35.7 0.2 1.0 0 9.0 54.0 0 100 55-64 34.0 0 1.4 0 10.6 54.0 0 100 65+ 12.3 0 0.8 39.2 5.5 13.6 28.7 100 Educational Never attended 41.0 0 1.7 4.0 4.7 45.7 2.8 100 attainment school Currently 6.2 90.1 1.2 .0 0.3 2.2 0 100 attending school No qualiﬁcations 43.3 0 2.0 1.3 5.2 46.4 1.8 100 Primary 42.2 0 1.4 2.2 8.7 42.5 2.9 100 Secondary or 53.2 0 2.0 .4 5.9 36.7 1.8 100 higher Sex of Male 27.5 31.9 1.6 2.4 3.2 31.7 1.8 100 household Female 31.9 30.7 1.5 2.5 3.5 28.2 1.7 100 head Educational Never attended 33.0 23.8 1.6 2.8 3.4 33.3 2.0 100 attainment school of household No qualiﬁcations 24.0 40.7 1.3 1.9 3.5 27.3 1.4 100 head primary 18.1 50.6 1.7 1.5 3.2 23.5 1.3 100 Secondary or 17.8 57.6 1.2 1.0 2.3 19.2 0.9 100 higher

88 Occupational Paid Employee 19.7 52.7 1.2 1.3 2.3 21.7 1.1 100 status of household head Employer 19.5 43.3 1.2 1.8 1.9 30.8 1.5 100 Own Account 34.6 23.6 1.7 1.6 2.3 34.7 1.6 100 Worker Unpaid Family 20.4 42.9 1.7 2.6 5.3 25.0 2.0 100 Worker Unpaid working 30.6 35.7 2.3 2.0 3.0 23.2 3.2 100 for others Not Working 29.3 22.9 1.2 7.2 6.9 30.0 2.6 100 State Upper Nile 22.5 41.6 1.1 2.6 1.8 28.3 2.1 100 Jonglei 36.1 23.8 2.5 1.6 2.0 31.6 2.3 100 Unity 26.6 30.1 0.7 3.8 3.8 31.6 3.4 100 Warrap 29.6 14.7 0.9 3.4 3.1 46.0 2.3 100 Northern Bahr El 35.6 18.5 1.8 4.2 3.5 34.3 2.0 100 Ghazal Western Bahr El 26.9 32.2 1.0 2.1 2.5 34.1 1.3 100 Ghazal Lakes 40.7 20.3 0.9 2.0 2.5 31.5 2.1 100 Western Equatoria 22.5 37.2 1.5 1.5 4.6 31.6 1.1 100 Central Equatoria 20.7 50.7 2.3 1.3 3.8 20.7 0.6 100 Eastern Equatoria 31.2 34.6 0.7 4.1 6.6 21.7 1.1 100 Source: 5th Sudan Population and Housing Census, 2008.

Table 5-10: Main reason for not seeking working by background characteristics. Percentage of people aged 15 and above who did not work and did not seek work in previous 7 days.

Reason For Economic Inactivity

Background characteristics No Hope Full-time Income Too Old Disabled/ Full-time Pensioner/ Total to Find Student Recipient Too Sick Homemaker Retired Job Sex Southern Sudan 29.7 23.1 1.3 3.4 3.9 36.2 2.4 100 Male 37.9 34.1 1.6 3.4 4.2 16.1 2.7 100 Female 23.3 14.4 1.0 3.3 3.7 52.0 2.3 100 Urban/rural Urban 26.0 34.4 1.5 2.4 2.5 30.6 2.6 100 Rural 30.8 19.9 1.2 3.6 4.3 37.8 2.4 100 Educational Never attended 36.9 0 1.3 5.0 5.0 48.4 3.5 100 attainment school Currently 6.4 89.3 0.9 0 0.4 3.0 0 100 attending school No qualiﬁcations 41.8 0 2.0 1.5 5.3 47.5 2.0 100 Primary 42.0 0 1.5 2.2 8.8 42.5 3.0 100 Secondary or 53.2 0 2.0 0.4 5.9 36.7 1.8 100 higher Sex of Male 28.1 23.2 1.3 3.2 3.8 38.0 2.4 100 household Female 32.6 22.9 1.2 3.6 4.2 33.0 2.5 100 head Educational Never attended 32.8 16.7 1.3 3.9 4.0 38.6 2.7 100 attainment school of household No qualiﬁcations 25.3 29.8 1.2 2.6 4.4 34.7 2.0 100 head Primary 19.9 39.6 1.4 2.1 4.1 31.1 1.8 100 Secondary or 21.1 46.2 1.0 1.4 3.0 25.9 1.3 100 higher Occupational Paid Employee 22.3 41.5 1.0 1.8 2.8 29.0 1.6 100 status of Employer 21.1 31.6 1.2 2.7 2.4 38.7 2.3 100 household Own Account 34.5 16.9 1.4 2.1 2.7 40.2 2.2 100 head Worker Unpaid Family 19.2 33.9 1.3 4.2 6.4 31.8 3.3 100 Worker Unpaid working 31.2 25.1 2.4 3.0 3.7 29.9 4.8 100 for others

89 Not Working 29.4 16.6 1.1 8.7 7.9 33.2 3.1 100 State Upper Nile 23.9 30.0 0.9 3.7 2.4 36.0 3.1 100 Jonglei 37.2 16.5 1.9 2.1 2.2 37.0 3.1 100 Unity 28.2 20.5 0.7 5.4 4.9 35.5 4.8 100 Warrap 27.9 11.0 0.7 4.6 3.5 49.1 3.2 100 Northern Bahr El 33.6 13.0 1.3 5.8 3.8 39.7 2.8 100 Ghazal Western Bahr El 27.5 22.7 1.1 2.8 2.9 41.3 1.7 100 Ghazal Lakes 39.8 15.0 0.8 2.8 3.1 35.7 2.9 100 Western Equatoria 22.8 27.8 1.5 2.0 5.4 39.0 1.5 100 Central Equatoria 23.1 39.7 1.7 1.8 4.9 27.8 0.9 100 Eastern Equatoria 31.0 27.0 0.6 6.0 8.1 25.7 1.7 100 Source: 5th Sudan Population and Housing Census, 2008.

90 6. Marriage

Table 6-1 Marital status by age for Southern Sudan. Percentage of population aged 12 and above.

Marital Status Never Married Married Widowed Divorced Total Southern Sudan 39.6 56.1 3.1 1.2 100 Age group 12-14 93.4 6.3 0.2 0.2 100 15-19 81.6 17.5 0.4 0.5 100 20-24 51.1 47.0 0.8 1.1 100 25-29 27.8 69.5 1.3 1.4 100 30-34 14.9 81.3 2.3 1.6 100 35-39 7.9 86.9 3.5 1.6 100 40-44 5.1 88.1 5.1 1.7 100 45-49 3.5 88.7 6.0 1.8 100 50-54 4.0 85.4 8.9 1.7 100 55-59 2.6 83.6 12.2 1.7 100 60-64 3.7 81.5 13.0 1.8 100 65+ 5.5 76.6 16.0 1.8 100 Source: 5th Sudan Population and Housing Census, 2008.

Table 6-2 Marital status by age and sex for Southern Sudan. Percentage of population aged 12 and above.

Marital Status Never Married Widowed Divorced Total Never Married Widowed Divorced Total Married Married Southern 49.2 48.6 1.3 0.9 100 30.2 63.3 5.0 1.4 100 Sudan Age group 12-14 94.6 5.1 0.1 0.2 100 92 7.6 0.3 0.2 100 15-19 91.5 8.0 0.3 0.2 100 71.1 27.5 0.6 0.8 100 20-24 75.2 23.6 0.6 0.6 100 30.2 67.3 1.0 1.5 100 25-29 47.2 51.3 0.5 1.0 100 12.4 84.0 1.8 1.8 100 30-34 24.3 73.3 0.9 1.4 100 7.3 87.6 3.4 1.7 100 35-39 12.6 85.0 1.1 1.3 100 3.8 88.7 5.7 1.9 100 40-44 7.3 89.6 1.6 1.5 100 2.9 86.8 8.5 1.8 100 45-49 4.1 92.7 1.7 1.5 100 2.8 84.2 10.8 2.2 100 50-54 4.9 91.0 2.7 1.5 100 3.0 79.3 15.8 1.9 100 55-59 2.6 92.5 3.6 1.3 100 2.5 72.7 22.7 2.1 100 60-64 3.8 90.2 4.4 1.5 100 3.5 70.7 23.6 2.2 100 65+ 5.5 85.3 7.6 1.6 100 5.6 64.5 27.8 2.1 100 65+ 5.5 85.3 7.6 1.6 100 5.6 64.5 27.8 2.1 100 Source: 5th Sudan Population and Housing Census, 2008.

91 Table 6-3 Marital status by age and place of residence. Population aged 12 and above. Within age group percent. Marital Status Never Married Widowed Divorced Total Never Married Widowed Divorced Total Married Married Southern 41.3 54.1 3.3 1.3 100 39.3 56.5 3.1 1.1 100 Sudan Age group 12-14 91.5 8.0 0.3 0.1 100 93.8 5.9 0.1 0.2 100 15-19 80.1 19.0 0.5 0.5 100 82.0 17.2 0.4 0.5 100 20-24 51.2 46.9 0.7 1.2 100 51.0 47.1 0.8 1.1 100 25-29 31.9 65.5 0.9 1.7 100 26.8 70.5 1.4 1.3 100 30-34 18.8 77.4 2.1 1.7 100 13.9 82.2 2.3 1.6 100 35-39 11.8 82.6 3.7 1.9 100 7.1 87.9 3.5 1.5 100 40-44 6.6 85.8 5.7 1.9 100 4.7 88.6 5.0 1.6 100 45-49 5.3 85.6 7.0 2.0 100 3.1 89.3 5.8 1.8 100 50-54 5.6 80.7 11.5 2.2 100 3.7 86.4 8.4 1.6 100 55-59 3.7 77.6 17.1 1.6 100 2.3 84.7 11.3 1.7 100 60-64 4.8 76.5 17.0 1.8 100 3.5 82.5 12.2 1.8 100 65+ 7.5 71.7 18.6 2.2 100 5.2 77.5 15.6 1.7 100 Source: 5th Sudan Population and Housing Census, 2008.

Table 6-4 Age at first marriage by background characteristics. Percent of population ever married. Age group Divorced 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45+ Sex Southern Sudan 9.7 41.8 26.1 12.2 5.8 2.2 1.0 1.2 21 Male 7.0 24.4 30.1 20.6 10.4 4.0 1.6 1.9 23 Female 11.7 54.1 23.3 6.3 2.4 1.0 0.5 0.7 19 Urban/rural Urban 10.2 44.4 24 12.7 5.3 1.9 0.8 0.6 20 Rural 9.7 41.2 26.6 12.1 5.9 2.3 1.0 1.3 21 Educational Never attended school 9.6 42.6 25.9 11.6 5.8 2.2 1.0 1.3 21 attainment No qualifications 15.9 45.3 22.7 9.7 3.6 1.4 0.7 0.7 19 Primary 6.5 37.1 30 16.9 5.9 2.4 0.7 0.5 21 Secondary or higher 5.6 30.1 31 19.8 8.2 3.3 1.1 0.8 22 Sex of Male 9.5 39 26.3 13.7 6.5 2.5 1.1 1.3 21 household Female 10.2 47.1 25.7 9.5 4.3 1.6 0.7 1.0 20 head Age of 15-24 14.3 56.5 20.1 4.8 2.6 0.7 0.4 0.6 18 household 25-34 11 46.3 27.3 11.4 2.9 0.6 0.3 0.3 19 head 35-44 10 41.9 26.6 12.9 5.5 2.1 0.7 0.3 20 45-54 8.6 38.7 26.6 13.3 7.4 2.9 1.2 1.4 21 55-64 8.1 36.5 25.8 13.3 8.1 3.7 2.1 2.4 22 65+ 7.7 34.9 24.8 13.1 8.9 4 2.2 4.4 23 Educational Never attended 9.6 41.7 26.2 11.9 6.0 2.2 1.1 1.3 21 attainment school of household No qualifications 11.6 44.6 24.9 11 4.4 1.7 0.8 1.0 20 head Primary 9.5 42.5 26.7 13.5 4.8 1.9 0.6 0.5 20 Secondary or higher 9.4 39 26.4 14.9 6.1 2.6 0.8 0.7 21 Occupational Paid Employee 9.1 41.2 26.1 14.1 5.9 2.1 0.8 0.7 21 status of Employer 14.9 35.7 23.8 13.1 5.6 3.8 1.4 1.6 21 household Own Account Worker 9.7 41.9 26.1 11.8 6.0 2.2 1.0 1.4 21 head Unpaid Family 10.1 42.9 26.3 11.7 5.3 2.0 0.9 0.9 21 Worker Unpaid working for 11.4 40.9 26.3 11.9 4.7 1.8 0.8 2.2 21 others Not Working 7.9 40.6 26.6 13.3 6.5 2.6 1.1 1.3 21 State Upper Nile 7.7 43.9 27.4 11.6 5.1 2.2 0.9 1.2 21 Jonglei 10.3 40.0 24.4 12.1 7.0 2.7 1.5 2.0 21 Unity 15.1 45.5 19.8 10.1 5.0 2.0 0.9 1.6 20 Warrap 8.9 38.9 28.3 13 6.7 2.2 1.0 1.0 21 Northern Bahr El 11.1 39.6 24.7 12.2 7.1 2.8 1.0 1.3 21 Ghazal

92 Western Bahr El 15.1 41.3 22.4 11.5 6.2 2.3 0.6 0.6 20 Ghazal Lakes 8.7 43.2 24.4 13 6.3 2.0 1.2 1.3 21 Western Equatoria 11.4 42.1 26.7 11.6 4.9 1.9 0.7 0.7 20 Central Equatoria 7.5 43.2 29.0 13.0 4.5 1.8 0.6 0.5 20 Eastern Equatoria 8 42.4 28.9 12.9 4.4 1.8 0.8 0.8 21

Source: 5th Sudan Population and Housing Census, 2008.

93 94 7. Births

Table 7-1: Women of reproductive age (12-54) by number of children ever born.

Age group Southern 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 Sudan Total 2,218,599 263,728 402,190 357,774 343,354 263,991 225,491 156,755 119,057 86,259 0 1,077,765 258,579 347,406 185,096 99,775 62,748 44,051 32,588 25,210 22,311 1 136,057 4,217 30,564 48,127 24,474 10,723 6,972 4,690 3,589 2,701 2 163,227 932 14,330 52,505 44,678 20,639 12,140 7,956 6,059 3,988 3 166,380 -- 5,821 34,837 54,493 29,744 19,175 10,464 7,269 4,577 4 164,848 -- 2,831 19,475 48,480 37,761 25,945 14,455 9,468 6,433 Children 5 139,984 -- 1,237 9,160 31,742 34,141 28,869 16,651 10,761 7,422 ever born 6 135,278 -- -- 5,961 21,112 31,085 31,802 20,746 15,332 9,240 7 81,893 -- -- 1,708 8,702 15,840 20,457 15,502 11,675 8,009 8 58,848 -- -- 694 5,648 9,527 15,276 11,833 9,372 6,498 9 37,316 -- -- 211 2,419 4,947 8,531 8,362 7,487 5,359 10 24,828 ------1,126 3,466 5,389 5,566 5,215 4,066 11 12,480 ------504 1,427 2,553 3,196 2,693 2,107 12+ 19,697 ------201 1,944 4,330 4,748 4,925 3,549 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

Table 7-2: Women of reproductive age (12-54) by number of male children ever born. Age group Southern 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 Sudan Total 2,218,599 263,728 402,190 357,774 343,354 263,991 225,491 156,755 119,057 86,259 0 1,212,270 261,490 367,044 225,359 130,356 79,008 54,592 39,211 29,892 25,318 1 271,659 1,944 24,510 68,584 70,684 40,745 27,919 16,671 12,154 8,449 2 265,995 295 7,843 40,276 70,006 52,894 41,036 24,572 17,274 11,799 3 202,252 -- 2,064 15,823 41,561 43,210 40,936 26,668 18,770 13,221 4 134,356 -- 649 5,088 19,912 26,400 31,325 21,873 17,764 11,345 Children 5 67,239 -- 80 1,783 6,687 12,240 15,202 13,697 10,623 6,928 ever born 6 36,954 -- -- 674 2,823 5,737 8,329 8,098 6,715 4,577 7 14,330 -- -- 106 687 2,196 3,125 3,224 2,845 2,147 8 7,470 -- -- 81 434 907 1,701 1,388 1,567 1,393 9 2,895 ------102 346 605 677 629 537 10 1,800 ------86 209 430 359 481 234 11 589 ------54 97 126 185 127 12+ 790 ------17 45 195 191 157 184 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

95 Table 7-3: Women of reproductive age (12-54) by number of female children ever born. Age group Southern 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 Sudan Total 2,218,599 263,728 402,190 357,774 343,354 263,991 225,491 156,755 119,057 86,259 0 1,250,617 260,374 368,775 233,421 139,117 85,172 60,194 42,874 32,888 27,803 1 303,442 3,161 24,886 69,514 77,150 47,647 34,227 21,159 15,714 9,984 2 271,547 193 6,281 36,204 67,290 55,213 45,039 28,810 19,413 13,105 3 181,388 -- 1,753 13,279 35,994 38,884 36,730 24,078 18,117 12,553 4 108,394 -- 366 3,953 15,471 21,551 25,094 18,396 14,381 9,183 Children 5 52,367 -- 129 885 5,121 8,846 12,510 10,560 8,589 5,727 ever born 6 28,496 -- -- 411 2,250 4,249 6,867 5,652 5,082 3,985 7 11,834 -- -- 108 566 1,361 2,612 2,848 2,328 2,011 8 5,993 ------252 681 1,356 1,349 1,340 1,014 9 2,290 ------117 222 421 468 633 429 10 1,136 ------60 239 302 322 213 11 510 ------13 30 98 148 122 99 12+ 584 ------13 74 104 112 128 154 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

Table 7-4: Women of reproductive age (12-54) by number of children born in the twelve months before the census. Age group Southern 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 Sudan Total 2,218,599 263,728 402,190 357,774 343,354 263,991 225,491 156,755 119,057 86,259 0 2,011,329 263,333 385,798 310,106 282,534 225,555 198,695 146,798 114,365 84,145 Children born in 1 194,841 380 15,995 45,517 57,618 35,935 24,673 8,911 4,003 1,809 twelve 2 10,567 15 362 1,968 2,798 2,095 1,767 783 517 262 months 3 993 -- 34 99 254 234 172 113 57 29 before 4 475 -- -- 68 90 117 54 74 72 -- census 5 258 ------27 28 86 76 29 13 6 135 -- -- 17 32 27 44 -- 14 -- Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

Table 7-5: Women of reproductive age (12-54) by number of male children born in the twelve months before the census. Age group Southern 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 Sudan Children Total 2,218,599 263,728 402,190 357,774 343,354 263,991 225,491 156,755 119,057 86,259 born in 0 2,104,544 263,492 393,657 331,939 310,521 242,549 210,402 150,717 116,263 85,004 twelve 1 111,230 236 8,490 25,316 32,159 20,832 14,610 5,753 2,621 1,213 months before 2 2,235 -- 44 451 601 523 332 170 86 29 census 3 591 -- -- 68 73 88 146 116 86 13 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

96 Table 7-6: Women of reproductive age (12-54) by number of female children born in the twelve months before the census. Age group Southern 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 Sudan Children Total 2,218,599 263,728 402,190 357,774 343,354 263,991 225,491 156,755 119,057 86,259 born in 0 2,116,078 263,554 394,024 334,500 312,972 245,161 212,114 151,980 116,622 85,151 twelve 1 99955 174 8,086 22,895 29,787 18,304 12,919 4,510 2,225 1,054 months before 2 2168 -- 79 332 487 426 373 250 181 40 census 3 398 -- -- 47 107 100 85 15 29 14 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

Table 7-7: Women of reproductive age (12-54) by number of deaths of children born in the twelve months before the census Age group Southern 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 Sudan Total 2,218,599 263,728 402,190 357,774 343,354 263,991 225,491 156,755 119,057 86,259

Deaths 0 2,193,701 263,682 400,447 352,531 336,648 259,174 221,688 155,176 118,502 85,853 of 1 23,407 46 1,684 4,937 6,236 4,546 3,605 1,432 542 379 children born 2 1,415 -- 59 272 439 272 185 147 13 28 in 12 months 3 30 -- -- 17 13 ------before census 4 13 ------13 ------5 34 -- -- 17 17 ------

Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

Table 7-8: Women of reproductive age (12-54) by number of deaths of male children born in the twelve months before the census Age group Southern 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 Sudan Deaths Total 2,218,599 263,728 402,190 357,774 343,354 263,991 225,491 156,755 119,057 86,259 of male children 0 2,203,687 263,682 401,161 354,582 339,602 261,071 223,063 155,749 118,724 86,051 born in 12 months 1 14,420 46 1,015 3,062 3,604 2,831 2,368 980 321 194 before census 2 492 - 13 129 148 89 60 27 12 14 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

97 Table 7-9: Women of reproductive age (12-54) by number of deaths of female children born in the twelve months before the census Age group Southern 12-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 Sudan Deaths Total 2,218,599 263,728 402,190 357,774 343,354 263,991 225,491 156,755 119,057 86,259 of female children 0 2,207,893 263,728 401,459 355,578 340,152 261,971 224,005 156,119 118,836 86,046 born in 12 1 10,333 - 704 2,129 3,080 1,962 1,445 580 221 213 months before 2 310 - 28 33 104 59 28 56 1 - census 3 63 - - 34 17 - 13 - - - Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

98 8. Housing 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 0.1 0.4 0.2 0.6 1.5 1.1 0.7 0.2 0.4 0.3 0.4 0.5 0.4 0.6 0.2 0.3 0.3 0.4 0.4 0.5 0.6 0.5 0.4 0.4 0.5 Incomplete 0 0 0 0 0 0 0 0 0 0 0 0.1 1.4 0.2 0.1 0.1 0.5 0.3 0.2 0.2 0.1 0.1 0.1 0.4 0.1 Multi- storey house 0.5 2.1 0.6 6.1 3.0 1.1 1.3 1.4 4.5 2.1 4.9 4.2 4.6 2.4 2.5 2.7 2.9 5.3 4.2 3.2 4.4 4.7 3.0 4.1 14.9 House constructed of Wood 0.3 3.9 2.3 3.4 8.0 0.6 0.2 0.3 0.2 2.5 2.2 0.7 0.5 1.1 2.6 7.1 8.4 3.7 2.4 0.8 1.2 0.7 2.1 5.1 1.7 House of One Floor, Brick/ concrete 1.8 8.1 2.4 7.9 5.3 2.6 7.7 7.9 3.1 6.3 8.4 3.0 9.3 7.9 6.9 7.4 7.0 7.8 9.4 7.6 16.0 14.0 13.3 11.3 10.4 House of One Floor, Mud 0 0 0 0 0 0 0 0 0 0.1 0.1 0.4 0.1 0.1 0.1 0.1 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 Villa 0.2 0.6 0.1 0.4 0.1 0.1 0.1 0.1 0.1 0.4 0.3 0.2 0.1 0.2 0.3 0.7 0.7 0.4 0.2 0.2 0.2 0.1 0.3 0.5 0.2 Flat or Apartment 51.9 17.0 16.6 21.9 20.8 13.0 11.6 38.2 18.2 31.9 19.8 34.2 29.0 21.8 34.5 15.7 13.0 14.4 17.2 26.3 24.5 25.0 23.0 19.1 23.7 Sticks Tukul / Tukul Gottiya of 42.9 64.7 60.9 51.7 60.2 59.8 76.3 49.4 61.9 50.3 63.3 53.1 56.1 60.1 52.7 59.6 59.0 64.1 62.5 57.8 59.5 58.9 58.2 58.1 58.8 Type of Dwelling Type Mud Tukul / Tukul Gottiya of 0.5 1.4 2.1 1.0 2.4 9.5 1.5 1.8 1.2 0.8 2.1 2.0 2.2 1.9 2.7 2.8 1.9 2.1 2.4 2.1 2.3 1.9 2.0 2.7 2.1 Mats of Straw Dwelling 1.8 1.8 1.2 0.8 1.6 1.5 0.5 1.5 0.5 1.4 1.4 1.3 1.1 1.1 1.5 1.5 2.3 1.4 1.4 1.1 0.9 1.2 1.4 1.1 1.2 Tent Eastern Equatoria Central Equatoria Central Western Western Equatoria Lakes Western Bahr El Western Ghazal Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Unpaid Family Worker Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualiﬁcations Never attended school Female Rural Male Urban Southern Sudan Background characteristics State Occupational status of household head Educational attainment of household head Sex of household head Urban/rural Table 8-1: Type of dwelling by background characteristics. Percentage of households. of dwelling by background characteristics. Percentage 8-1: Type Table and Housing Census, 2008. Source: 5th Sudan Population

99 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total Total 17.9 21.0 19.5 20.2 19.7 4.0 2.5 3.5 2.0 2.3 3.1 4.7 6.3 5.0 2.8 2.4 2.6 3.1 3.7 3.0 4.0 1.4 2.0 2.9 1.5 2.3 6.8 3.5 0.5 2.9 Five+ Six or more persons per room 8.8 7.7 8.3 8.0 8.2 room 7.4 6.4 7.4 5.6 6.1 6.3 8.9 8.9 5.5 6.3 5.9 7.5 8.4 5.8 9.0 6.4 7.4 6.8 4.8 5.6 6.5 1.9 6.7 10.2 11.3 Four Five persons per Five 17.8 17.9 18.1 17.0 17.8 6.0 14.8 15.1 16.5 13.1 14.6 14.2 16.8 18.5 18.1 14.3 14.5 14.4 17.8 15.8 13.8 19.9 15.9 20.4 15.0 12.3 13.2 16.2 14.2 15.1 room Three Four persons per Four Number of rooms used for sleeping 20.8 20.7 21.1 19.6 20.7 room Two 29.4 30.3 30.1 30.2 30.0 30.4 30.6 30.6 30.1 26.8 29.8 29.6 34.8 33.5 25.6 33.1 38.1 34.5 36.2 30.6 35.3 27.1 26.5 19.0 30.1 Number of rooms used for sleeping Three persons per 22.8 22.3 22.7 21.9 22.5 room One 44.4 45.6 42.5 49.1 47.0 45.9 39.0 34.4 37.9 50.6 46.9 47.5 36.8 38.7 51.8 34.0 38.2 35.7 39.1 50.8 43.6 38.6 49.3 72.6 45.3 Two persons per Two 11.9 10.4 10.4 13.3 11.0 One person per room Southern Sudan Urban Rural Male Female Never attended school No qualiﬁcations Primary Secondary or higher Paid Employee Paid Employer Own Account Worker Unpaid Family Worker Unpaid Family Unpaid working for others Not Working Upper Nile Jonglei Unity Warrap Northern Bahr El Ghazal Western Bahr El Ghazal Western Lakes Western Equatoria Western Central Equatoria Eastern Equatoria Background characteristics Female Male Rural Urban Southern Sudan Background characteristics Sex of household head Urban/rural Urban/rural Sex of household head Educational attainment of household head Occupational status of household head State Table 8-2: Number of rooms used for sleeping by background characteristics. Percentage of households. 8-2: Number of rooms used for sleeping by background characteristics. Percentage Table Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 8-3: Number of persons per room used for sleeping by background characteristics. Percentage of households. 8-3: Number of persons per room used for sleeping by background characteristics. Percentage Table

100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 8.2 29.3 17.9 29.4 16.3 14.2 15.0 19.8 18.7 27.4 27.4 19.2 19.6 18.9 22.5 18.5 14.9 16.5 17.1 20.7 7.4 3.6 4.1 4.9 4.1 6.0 5.4 5.3 6.1 2.5 4.6 3.6 4.5 Free 8.1 4.1 8.4 8.0 8.7 8.5 7.6 5.5 9.9 9.1 6.0 8.9 8.0 7.3 7.4 6.2 6.8 8.0 8.6 12.7 2.3 0.5 1.0 0.8 0.7 1.0 1.3 3.3 3.4 1.2 0.6 0.6 0.9 9.9 19.1 15.7 21.5 16.0 16.7 16.6 21.0 22.2 17.9 17.4 22.5 18.0 17.7 17.9 17.0 16.8 16.1 16.3 18.2 Provided by Job Provided Tenure Status Tenure 0.8 3.6 2.5 1.6 5.9 6.5 6.6 2.4 0.8 3.1 10.9 11.7 11.6 Rented 18.6 21.2 18.0 18.1 19.7 22.6 22.2 21.5 24.0 18.2 19.2 20.3 21.2 20.7 18.7 20.8 21.1 21.1 20.7 20.7 79.4 95.1 91.3 91.7 93.6 87.1 86.7 79.7 79.0 89.7 92.4 95.0 91.5 Owned 13.7 24.2 31.8 16.1 23.5 25.8 26.6 21.5 23.0 18.7 20.2 23.5 22.8 22.4 21.9 23.4 25.9 24.3 23.5 21.9 6.6 6.5 8.5 6.7 7.9 6.6 8.5 9.4 9.9 13.0 28.1 16.5 12.1 11.1 12.2 11.6 12.9 15.1 15.2 14.3 Southern Sudan Urban Rural Male Female Never attended school No qualiﬁcations Primary Secondary or higher Employee Paid Employer Own Account Worker Worker Unpaid Family Background characteristics Eastern Equatoria Central Equatoria Western Equatoria Western Lakes Western Bahr El Ghazal Western Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Worker Unpaid Family Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualiﬁcations Never attended school State Occupational status of household head Urban/rural Sex of household head Educational attainment of household head Occupational status of household head Educational attainment of household head Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 8-4: Housing tenure status by background characteristics. Percentage of households. 8-4: Housing tenure status by background characteristics. Percentage Table

101 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 2.2 7.7 6.7 5.1 6.0 4.0 5.2 7.0 7.1 6.1 5.5 4.8 4.4 5.7 4.6 7.2 5.2 Water Water Vendor 4.9 4.5 5.0 2.4 2.9 2.8 6.6 5.6 5.5 8.3 5.6 2.4 26.6 49.2 24.5 33.8 29.0 25.7 30.0 18.6 20.3 26.3 24.7 26.8 23.2 28.2 27.7 20.8 26.1 River or still water 1.9 7.9 2.6 5.1 3.1 2.7 7.1 1.5 1.1 1.3 1.6 3.3 3.0 2.7 3.5 0.5 2.8 0.9 0.9 1.9 0.8 0.1 0.6 1.2 0.5 0.7 0.9 1.8 0.2 Hafeer/Dam (with or without filter) 6.7 3.8 15.7 16.0 20.5 18.8 11.3 10.7 10.5 19.8 20.6 18.2 18.8 17.3 18.4 16.3 17.9 well) 1.6 3.6 5.8 0.6 0.6 0.5 1.2 0.9 1.5 8.9 0.9 17.3 Shallow Well (dug Shallow Well 0 0.7 0.3 0.5 0.4 0.3 0.3 0.4 0.6 0.8 0.4 0.3 0.3 0.4 0.3 0.3 0.3 92.5 90.9 87.3 96.2 96.3 96.2 90.9 76.5 92.9 89.3 83.7 96.5 Sand Filter with Sand Filter common network 57.4 14.7 36.7 32.7 32.2 38.7 35.6 37.9 36.1 27.6 32.2 37.7 39.8 33.9 36.8 34.9 36.4 Source of Drinking Water Hand pump 4.6 6.7 8.8 9.8 8.9 8.7 16.7 13.6 10.5 23.8 24.3 18.2 15.0 10.6 11.8 20.0 11.3 or filtering station Mechanical borehole 62.0 31.3 50.3 39.4 41.0 48.5 46.1 61.8 60.4 45.8 47.2 46.6 50.3 45.7 45.5 55.0 47.7 Proportion of households with access to improved water source Unpaid working for others Not Working Upper Nile Jonglei Unity Warrap Northern Bahr El Ghazal Bahr El Ghazal Western Lakes Equatoria Western Central Equatoria Eastern Equatoria Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Worker Unpaid Family Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualifications Never attended school Female Male Rural Urban Southern Sudan Background characteristics State Occupational status of household head Educational attainment of household head Sex of household head Urban/rural State Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 8-5: Main source of drinking water by background characteristics. Percentage of households. of Percentage characteristics. background by water drinking of source Main 8-5: Table

102 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 0.1 1.1 0.2 0.4 0.7 0.4 0.7 0.5 1.1 2.0 0.9 0.8 0.4 0.4 0.8 0.7 0.5 0.6 4.8 7.3 2.5 4.5 4.2 7.9 4.0 14.3 Solar Power 3.8 5.0 9.2 5.4 1.4 1.6 3.9 8.0 9.1 7.8 2.9 3.8 4.7 1.8 4.3 12.4 10.5 12.7 4.4 30.4 29.0 10.4 12.9 12.6 39.1 34.2 Candle Wax 9.4 8.0 7.4 6.6 15.0 20.2 16.0 14.5 20.2 15.8 10.1 11.1 11.9 17.8 17.4 15.0 18.8 16.0 1.4 0.7 1.7 3.2 3.2 2.7 4.6 1.9 Grass 51.6 53.7 26.1 44.5 41.1 52.9 47.2 35.0 22.7 19.6 27.5 36.7 50.6 47.8 43.6 52.2 22.8 45.4 Firewood 4.9 7.5 21.1 37.3 13.0 22.3 25.9 38.3 6.0 5.2 9.2 14.9 13.9 12.0 11.4 12.4 25.6 28.5 35.2 34.7 25.1 11.5 16.5 10.6 26.7 14.4 Paraffin Lamp Paraffin 0 0 0.2 0.5 0.2 1.6 1.6 1.5 1.2 0.7 2.9 3.9 3.6 2.9 1.0 1.2 1.8 0.9 3.5 1.5 0.9 0.3 0.1 0.1 0.2 0.3 Paraffin Lantern Paraffin 1.7 0.6 0.5 0.5 0.5 0.3 0.6 0.2 0.4 0.6 0.5 0.4 0.4 0.5 0.4 0.4 0.5 0.4 8.9 20.7 72.4 36.6 45.9 37.3 31.9 38.6 Gas 0.4 1.4 2.8 1.5 0.8 0.6 0.9 4.1 5.8 7.3 2.4 1.9 0.7 1.0 1.8 0.7 4.0 1.5 5.9 7.4 4.6 20.5 16.7 13.1 11.4 13.8 Private Private Electricity (generator) Source of Lighting 1.2 0.3 2.4 1.4 0.4 0.2 0.7 1.3 4.7 5.1 2.3 1.4 0.5 0.9 1.2 0.2 4.1 1.1 41.3 25.6 78.3 49.7 53.2 41.9 43.3 52.5 Public Electricity Public 8.4 7.9 25.5 17.1 23.5 14.7 26.9 10.9 16.8 14.6 13.2 11.3 16.5 15.6 14.2 13.7 18.5 14.8 No Lighting Eastern Equatoria Central Equatoria Western Equatoria Western Lakes Western Bahr El Western Ghazal Northern Bahr El Ghazal Warrap Unity Unity Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Unpaid Family Worker Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualifications Never attended school Female Male Rural Urban Southern Sudan Background characteristics State Occupational status of household head Educational attainment of household head Sex of household head Urban/rural Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 8-6: Main source of lighting by background characteristics. Percentage of households. 8-6: Main source of lighting by background characteristics. Percentage Table

103 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1.2 0.4 0.4 1.4 0.3 0.8 0.2 Total 0.6 0.6 5.1 0.9 0.9 1.9 0.5 2.7 1.2 0.9 0.5 1.4 2.4 3.8 4.0 2.7 2.7 0.9 0.7 1.9 0.9 3.2 1.4 3.0 4.8 3.5 2.8 9.2 2.9 1.3 No Cooking 6.3 4.3 11.5 11.6 17.6 20.5 31.4 0.2 0.3 0.4 6.7 1.5 2.4 2.4 3.2 1.3 2.8 2.9 6.7 1.6 2.1 1.2 1.9 3.0 2.7 2.8 3.1 1.5 2.8 11.6 Grass 69.4 21.1 51.2 37.9 32.2 48.1 53.8 0 0 0.1 0.2 0.3 0.8 0.3 0.3 0.3 0.5 0.1 0.2 0.3 0.2 0.3 0.1 0.3 0.2 0.2 0.2 0.2 0.1 0.2 6.6 4.6 1.2 2.4 49.4 27.3 27.1 1.8 4.5 5.5 0.9 0.7 0.2 0.3 Cow dung or biogas 0.2 0.1 0.2 0.1 0.1 0.8 0.2 1.2 0.2 0.2 0.3 0.3 0.6 1.3 1.8 0.6 0.6 0.2 0.3 0.5 0.3 0.9 0.4 parafﬁn 0.2 0.1 0.3 0.3 0.1 0.5 0.4 Gas, electricity or Cooking Fuel 3.0 2.4 3.2 2.3 4.9 7.8 4.3 2.4 6.8 5.3 8.1 9.9 2.4 9.1 28.5 16.9 12.3 17.4 33.6 32.9 18.6 13.9 31.6 0.3 2.0 0.1 2.4 5.1 1.7 0.5 Charcoal 0 2.2 2.7 0.1 1.1 0.2 0.1 96.0 96.5 65.8 88.9 94.9 89.2 88.8 67.4 82.7 92.8 94.0 88.4 72.6 59.6 58.9 76.8 80.6 90.3 88.0 84.7 93.1 62.7 86.1 3.9 3.4 5.4 9.6 32.2 19.9 24.0 Firewood Western Equatoria Western Lakes Western Bahr El Ghazal Western Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Worker Unpaid Family Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualiﬁcations Never attended school Female Male Rural Urban Southern Sudan Eastern Equatoria Central Equatoria Western Equatoria Western Lakes Western Bahr El Western Ghazal Northern Bahr El Ghazal Warrap Background characteristics State Occupational status of household head Educational attainment of household head Sex of household head Urban/rural Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population Table 8-7: Main source of energy for cooking by background characteristics. Percentage of households. 8-7: Main source of energy for cooking by background characteristics. Percentage Table

104 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 0.5 2.5 92.5 43.2 17.5 85.7 78.4 95.3 92.8 89.3 77.9 86.3 79.1 73.9 82.8 77.2 71.9 52.2 37.0 43.2 58.1 84.7 82.6 70.8 81.3 57.6 75.8 No Toilet Facility No Toilet 0 0 0 0 0 0 0 0.2 0.3 0.3 0.3 0.4 0.2 0.2 0.3 0.1 0.4 0.1 0.1 0.2 0.2 0.2 0.1 0.1 0.3 0.3 0.2 Bucket Toilet 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.1 0.1 0.2 0.1 0.3 0.2 0.2 0.1 0.1 0.1 0.1 0.2 0.1 Flush Toilet Shared Flush Toilet 0 0 0 0 0 0.9 0.4 0.1 0.1 0.5 0.1 0.1 0.1 0.1 0.1 1.1 1.4 0.3 0.2 0.1 0.1 0.3 0.7 0.1 0.5 0.8 0.2 Private Flush Toilet Flush Toilet Toilet Facilities Toilet 1.7 8.2 4.1 6.7 1.5 1.0 1.8 5.7 4.3 5.3 3.4 5.1 4.7 9.7 3.6 4.5 6.5 5.0 4.0 5.7 18.6 12.3 12.4 15.1 12.8 22.5 11.3 Pit Latrine Shared Pit 5.8 3.0 5.8 8.5 8.4 37.1 73.9 10.0 14.9 16.1 15.3 13.7 13.6 17.3 22.6 34.0 45.8 43.4 31.8 11.4 12.6 22.2 93.6 14.5 74.0 29.9 18.1 Pit Latrine Private Pit Eastern Equatoria Central Equatoria Western Equatoria Western Lakes Western Bahr El Ghazal Western Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Worker Unpaid Family Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualiﬁcations Never attended school Female Male Eastern Equatoria Rural Central Equatoria Urban Southern Sudan Background characteristics State Occupational status of household head Educational attainment of household head Sex of household head Urban/rural Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population of households. 8-8: Main type of toilet facility by background characteristics. Percentage Table and Housing Census, 2008. Source: 5th Sudan Population

105 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 1.8 2.9 2.4 3.0 2.8 2.2 2.1 2.2 1.9 1.9 3.4 1.7 1.3 3.8 6.7 3.4 1.1 1.2 2.5 3.8 0.5 1.0 1.4 4.0 2.7 Humanitarian Aid 0 0 0 0.9 0.1 0.3 0.2 0.2 0.4 0.6 0.8 0.7 0.1 0.2 0.8 0.8 0.2 0.1 0.1 1.0 0.1 0.2 0.6 0.1 0.3 Pension 2.6 0.7 0.8 1.5 1.0 1.6 1.3 1.7 1.2 1.5 1.5 0.4 0.5 1.5 1.5 0.9 1.2 0.2 1.3 0.8 0.1 0.4 3.0 0.9 1.1 Remittances 2.3 1.0 1.1 1.5 1.2 1.7 1.8 1.5 1.4 2.3 1.7 0.4 0.8 1.6 1.1 0.6 2.4 0.5 2.2 3.4 2.3 0.7 1.4 1.0 1.3 Property Income 3.4 6.4 5.9 4.7 9.2 7.1 2.6 2.3 7.6 4.7 6.1 2.5 5.0 2.5 3.6 9.8 1.9 6.2 15.3 10.8 10.7 11.6 16.9 14.4 16.5 Enterprise Owned Business 3.5 9.6 6.4 4.1 3.2 1.8 3.4 9.6 5.8 6.6 3.6 6.3 3.6 3.5 5.2 8.2 24.0 12.4 18.0 35.5 44.3 14.6 14.6 18.5 17.4 Salaries Wages and Wages Source of Livelihood 3.3 6.1 5.3 5.5 6.4 2.9 1.5 2.1 1.9 5.1 5.5 6.8 4.1 5.7 4.4 9.0 6.6 2.3 1.5 2.4 5.7 0.3 1.8 5.4 16.2 Husbandry Subsistence Animal 82.4 74.0 76.0 79.7 68.0 64.0 44.5 39.5 57.6 77.3 86.2 87.5 69.4 56.5 75.4 75.9 89.7 81.2 53.7 85.3 90.2 64.6 70.7 49.8 74.8 Subsistence Crop Farming Southern Sudan Urban Rural Male Female Never attended school No qualiﬁcations Primary Secondary or higher Employee Paid Employer Own Account Worker Worker Unpaid Family Unpaid working for others Not Working Upper Nile Jonglei Unity Warrap Northern Bahr El Ghazal Bahr El Western Ghazal Lakes Equatoria Western Central Equatoria Eastern Equatoria Background characteristics Urban/rural Sex of household head Educational attainment of household head Occupational status of household head State Table 8-9: Main source of livelihood by background characteristics. Percentage of households. 8-9: Main source of livelihood by background characteristics. Percentage Table and Housing Census, 2008. Source: 5th Sudan Population

106 80.5 54.1 46.5 51.5 46.5 66.0 79.3 89.8 82.2 85.8 68.9 76.2 74.4 72.6 62.5 53.6 45.8 46.9 57.2 76.7 77.0 65.8 73.0 62.5 70.6 None 0 0 0 0 0 0 0 0.2 0.1 0.2 0.2 0.1 0.2 0.1 0.1 0.1 0.1 0.2 0.2 0.1 0.1 0.1 0.1 0.1 0.1 Tractor 0 0 9.3 0.1 0.1 2.0 1.5 0.1 0.1 1.5 1.7 1.4 2.9 1.0 2.6 0.5 0.4 0.3 1.1 1.9 2.0 1.3 1.8 0.9 1.6 Animal Transport 0.1 0.4 0.2 0.6 0.3 0.8 0.7 3.0 6.0 2.6 1.5 0.9 1.5 2.0 1.6 0.9 0.9 0.8 1.1 1.9 1.3 2.0 1.9 1.0 1.7 Canoe /Boat 9.5 6.7 9.7 40.1 51.4 45.7 45.7 32.0 19.0 10.3 26.5 21.1 20.6 23.2 30.3 38.1 43.7 47.8 38.9 18.8 18.7 28.8 22.5 31.0 24.5 Bicycle 0.9 7.9 3.7 3.5 8.7 1.0 1.1 0.7 0.8 1.5 3.1 1.3 1.1 1.8 4.3 9.6 6.5 3.7 1.2 1.6 3.4 1.5 6.3 2.6 12.4 Motor Cycle 0.5 3.2 1.6 3.6 1.8 1.3 0.9 0.9 1.4 1.1 1.9 1.5 0.8 1.2 3.9 4.8 7.1 3.0 2.1 0.8 1.2 1.9 1.1 3.2 1.6 Motor Vehicle Eastern Equatoria Central Equatoria Western Equatoria Western Lakes Western Bahr El Ghazal Western Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Worker Unpaid Family Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualiﬁcations Never attended school Female Male Rural Urban Southern Sudan Background characteristics State Occupational status of household head Educational attainment of household head Sex of household head Urban/rural Table 8-10: Ownership of selected transport items by background characteristics. Percentage of households. 8-10: Ownership of selected transport items by background characteristics. Percentage Table and Housing Census, 2008. “Note: Same household can own more than one type of item.” Source: 5th Sudan Population

107 87.1 49.5 69.4 66.9 53.3 78.5 86.2 78.8 74.5 72.3 70.4 75.9 81.5 76.4 55.7 40.1 33.9 47.3 56.1 80.9 79.2 68.0 78.2 54.9 72.8 None 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.1 0.1 0.1 0.1 0.1 0.5 0.6 0.1 0.1 0.1 0.3 0.1 Air cooler/AC 0 0 0 0 0 1.6 0.1 0.8 0.2 0.2 1.2 0.6 0.1 0.2 0.5 2.4 3.6 0.7 0.5 0.1 0.3 0.6 0.1 1.7 0.4 Fan 0 0 0 0 0 0.7 0.1 1.0 0.1 0.1 0.1 0.9 0.3 0.1 0.5 1.6 2.0 0.5 0.4 0.1 0.2 0.3 0.1 1.0 0.3 Satellite Dish 0 0 0.1 1.2 0.1 0.6 0.1 0.1 0.1 0.3 0.9 0.5 0.1 0.2 0.7 1.9 2.9 0.6 0.5 0.1 0.2 0.5 0.1 1.3 0.4 Refrigerator 0.1 1.5 0.2 0.7 0.4 0.1 0.1 0.1 0.3 0.4 0.5 0.2 0.1 0.1 0.7 2.4 3.7 0.6 0.3 0.1 0.2 0.5 0.2 1.2 0.4 Computer 0.1 0.7 0.1 0.1 0.5 0.1 0.0 0.3 0.2 0.4 0.3 0.2 0.1 0.1 0.3 1.1 1.5 0.6 0.3 0.1 0.2 0.3 0.1 0.7 0.2 Fixed Phone Fixed 3.3 2.2 4.7 5.8 1.5 4.3 5.6 2.9 5.2 3.8 6.1 4.0 8.4 22.0 18.4 10.9 15.0 11.2 18.7 31.9 37.1 18.9 14.4 10.0 22.7 Mobile Phone 11.6 46.1 29.5 31.0 42.7 18.8 13.1 15.9 23.1 24.5 26.1 21.4 17.4 21.7 37.1 52.4 57.0 47.9 38.9 17.7 18.6 29.1 20.2 39.6 24.7 Radio 0 0.4 2.9 0.3 3.4 0.4 0.1 0.8 0.6 3.0 1.5 0.1 0.2 0.5 2.5 5.7 7.2 2.6 1.5 0.3 0.8 1.4 0.2 4.0 1.1 Television Eastern Equatoria Central Equatoria Western Equatoria Western Lakes Western Bahr El Western Ghazal Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Unpaid Family Worker Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualiﬁcations Never attended school Female Male Rural Urban Southern Sudan Background characteristics State Occupational status of household head Educational attainment of household head Sex of household head Urban/rural Table 8-11: Ownership of selected consumer items by background characteristics. Percentage of households. 8-11: Ownership of selected consumer items by background characteristics. Percentage Table and Housing Census, 2008. Source: 5th Sudan Population Note: Same household can own more than one type of item.

108 9. Cultivation 75 62 52 84 44 72 87 82 84 74 68 85 81 75 69 54 55 62 65 78 75 76 77 76 71 63 73 74 80 40 74 Owning livestock 9 8 11 20 25 11 21 21 23 31 40 20 36 25 22 24 10 12 15 19 24 24 25 24 22 19 16 18 25 24 22 Engaged in ﬁshery 84 69 87 89 63 84 90 84 84 67 72 91 93 81 74 51 55 70 76 85 82 83 83 81 79 76 82 80 89 40 81 Engaged in cultivation Eastern Equatoria Central Equatoria Western Equatoria Western Lakes Western Bahr El Ghazal Western Northern Bahr El Ghazal Warrap Unity Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Worker Unpaid Family Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualiﬁcations Never attended school 65+ 55-64 45-54 35-44 25-34 15-24 Female Male Rural Urban Southern Sudan - Background characteristics State Occupational status of house hold head Educational attainment of household head Age of household head Sex of household head Urban/rural Table 9-1 Table Households engaging in agricultural or husbandry activities by background characteristics. Percentage of households. and Housing Census, 2008. Source: 5th Sudan Population Note: Households may engage in more than one agricultural/husbandry activity.

109 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Total 3.7 4.4 4.3 2.6 6.1 2.7 2.9 5.9 1.8 7.3 4.2 2.9 2.6 5.1 5.5 5.4 4.4 4.5 5.5 4.0 4.0 5.0 4.5 4.0 3.8 4.0 4.1 4.2 3.7 9.6 4.2 Communal .7 4.4 5.6 5.4 2.5 5.1 3.1 1.3 2.5 4.6 3.8 3.3 3.3 3.1 3.3 5.9 5.8 5.2 5.4 2.9 2.7 3.0 3.3 3.3 3.7 4.5 3.6 3.3 2.8 3.4 10.0 Partially owned Partially Tenure Status of Land Tenure 0.2 0.6 0.6 0.9 1.7 0.7 0.5 0.3 0.9 3.3 0.9 0.9 0.4 0.9 2.2 2.0 1.7 1.3 1.4 0.7 0.7 0.7 0.9 0.9 0.8 1.0 0.8 0.9 3.9 0.6 0.9 Rented 91.6 89.4 89.7 94.0 87.1 93.5 97.0 95.5 90.6 84.8 91.1 92.9 93.7 90.9 89.0 86.7 88.1 89.1 87.8 92.4 92.5 91.4 91.3 91.8 91.7 90.5 91.6 91.6 76.5 92.9 91.6 Owned 84 69 87 89 63 84 84 90 84 67 72 91 93 81 74 51 55 70 76 85 82 83 83 81 79 76 82 80 40 89 81 Engaged in cultivation Eastern Equatoria Central Equatoria Western Equatoria Western Lakes Western Bahr El Ghazal Western Northern Bahr El Ghazal Unity Warrap Jonglei Upper Nile Not Working Unpaid working for others Unpaid Family Worker Unpaid Family Own Account Worker Employer Paid Employee Paid Secondary or higher Primary No qualiﬁcations Never attended school 65+ 55-64 45-54 35-44 25-34 15-24 Female Male Urban Rural Southern Sudan Background characteristics State Occupational status of household head Educational attainment of household head Age of household head Sex of household head Urban/rural Table 9-2 Tenure status of land used for cultivation by background characteristics. Percentage of households engaged in cultivation. status of land used for cultivation by background characteristics. Percentage 9-2 Tenure Table and Housing Census, 2008. Source: 5th Sudan Population

110 37 39 39 38 41 39 39 39 37 35 36 44 55 48 43 28 39 37 40 40 21 25 24 39 43 22 27 55 57 63 43 Beverage, leguminous, cotton or other sugar, 6 1 2 8 2 2 16 15 18 11 20 16 14 14 14 15 10 29 43 31 23 14 16 15 13 15 20 14 65 40 11 Root and Tuber and Tuber Root Crops 3 3 6 17 20 20 20 22 20 20 20 19 17 18 26 30 26 24 10 19 22 13 23 20 26 22 34 19 28 45 20 Oilseed Crops 6 4 5 7 9 16 16 17 13 19 15 15 15 15 15 13 25 30 22 19 16 15 12 14 16 12 12 22 64 18 11 Fruits and Nuts Fruits 5 22 29 29 29 32 30 29 28 28 27 28 31 38 34 33 15 27 32 21 33 15 10 29 26 38 28 43 54 28 44 Vegetables 82 90 88 91 88 89 89 89 90 89 91 84 82 85 84 87 88 92 84 91 85 93 90 89 94 95 84 87 68 89 96 Cereal 40 89 80 82 76 79 81 83 83 82 85 76 70 55 51 74 81 93 91 72 67 84 84 81 90 84 63 89 87 69 84 Engaged in cultivation Southern Sudan Urban Rural Male Female 15-24 25-34 35-44 45-54 55-64 65+ Never attended school No qualiﬁcations Primary Secondary or higher Paid Employee Paid Employer Own Account Worker Unpaid Family Worker Unpaid Family Unpaid working for others Not Working Upper Nile Jonglei Unity Warrap Northern Bahr El Ghazal Western Bahr El Ghazal Western Lakes Western Equatoria Western Central Equatoria Eastern Equatoria - Background characteristics Urban/rural Sex of household head Age of household head Educational attainment of house hold head Occupational status of household head State Table 9-3 Crop type by background characteristics. Percentage of households engaged in cultivation. 9-3 Crop type by background characteristics. Percentage Table and Housing Census, 2008. Source: 5th Sudan Population Note: Households may grow more than one type of crop.

111 Percentage of Percentage households owning camels, pigs, horses or donkeys 5 2 6 6 5 4 6 5 5 5 6 6 3 2 3 3 7 5 7 4 15 2 2 2 2 1 3 1 2 22 Mean number of poultry for households owning poultry 14 13 14 15 13 11 13 15 16 15 14 14 11 14 18 13 18 15 13 12 13 27 27 7 8 14 12 16 10 19 Percentage of Percentage households owning poultry 48 24 53 48 49 42 47 50 49 50 49 50 46 45 37 35 43 48 55 52 43 32 45 69 56 35 52 44 47 54 Mean number of goats for households owning goats 35 20 36 32 39 32 39 33 33 34 41 39 13 14 20 19 18 30 48 22 14 32 20 14 11 14 13 11 14 146 Percentage of Percentage households owning goats 55 25 61 56 55 45 54 58 58 57 55 59 45 43 39 38 51 55 64 68 52 61 58 73 51 26 67 25 52 64 Mean number of sheep for households owning sheep 41 24 43 38 46 36 45 38 39 40 57 45 16 18 27 25 19 36 55 24 16 37 24 14 15 9 12 16 17 137 Percentage of Percentage households owning sheep 37 16 41 38 36 29 35 39 38 38 37 41 24 20 23 22 42 36 44 46 41 45 39 51 28 15 43 4 24 55 Mean number of cattle for households owning cattle 50 40 51 49 52 40 53 50 47 50 61 54 25 23 34 33 27 44 66 32 22 52 25 23 14 21 29 23 27 174 of cattle owning Percentage Percentage households 51 23 56 51 51 42 48 52 54 52 51 57 33 26 30 30 47 52 57 65 49 75 73 72 41 17 65 3 26 58 Southern Sudan Urban Rural Male Female 15-24 25-34 35-44 45-54 55-64 65+ Never attended school No qualiﬁcations Primary Secondary or higher Employee Paid Employer Own Account Worker Worker Unpaid Family Unpaid working for others Upper Nile Jonglei Unity Warrap Northern Bahr El Ghazal Bahr El Ghazal Western Lakes Equatoria Western Central Equatoria Eastern Equatoria Background characteristics Urban/rural Sex of household head Age of household head Educational attainment of household head Occupational status of household head State Table 9-4 Livestock Table holdings and animal type by background characteristics. Percentage of households with animal type and average holdings of those households with each animal. Note: Households may own more than one type of livestock Source: 5th Sudan Population and Housing Census, 2008. Source: 5th Sudan Population

112 10. Deaths

Table 10-1 Reported deaths in the twelve months before the census by age group. Number.

Sex of Deceased Background characteristics Male Female Total Age group Southern Sudan 88,797 77,100 165,897 0 12,384 16,833 29,218 1-4 29,144 26,530 55,675 5-9 12,351 10,220 22,572 10-14 6,785 5,702 12,486 15-19 6,297 5,368 11,665 20-24 5,556 3,700 9,257 25-29 4,063 1,959 6,022 30-34 2,634 1,862 4,496 35-39 2,237 809 3,045 40-44 1,605 1,022 2,627 45-49 993 663 1,656 50-54 977 536 1,513 55-59 618 328 945 60-64 668 426 1,094 65+ 2,483 1,142 3,626 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

Table 10-2 Reported deaths in the twelve months before the census by age group. Percentage of deaths. Sex of Deceased Background characteristics Male Female Total Age group Total 53.5 46.5 100 0 42.4 57.6 100 1-4 52.3 47.7 100 5-9 54.7 45.3 100 10-14 54.3 45.7 100 15-19 54.0 46.0 100 20-24 60.0 40.0 100 25-29 67.5 32.5 100 30-34 58.6 41.4 100 35-39 73.4 26.6 100 40-44 61.1 38.9 100 45-49 60.0 40.0 100 50-54 64.6 35.4 100 55-59 65.3 34.7 100 60-64 61.0 39.0 100 65+ 68.5 31.5 100 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

113 Table 10-3 Reported deaths caused by accident or act of violence in the twelve months before the census by age group. Number. Death Accident/Violence Background characteristics Yes No Total Age group Southern Sudan 42537 123359 165897 0 5103 24115 29218 1-4 12147 43528 55675 5-9 6417 16155 22572 10-14 4173 8313 12486 15-19 3800 7865 11665 20-24 3441 5816 9257 25-29 2366 3656 6022 30-34 1372 3123 4496 35-39 882 2163 3045 40-44 859 1768 2627 45-49 671 985 1656 50-54 215 1298 1513 55-59 236 710 945 60-64 296 798 1094 65+ 560 3066 3626

Table 10-4 Reported deaths caused by accident or act of violence in the twelve months before the census by age group. Percentage of deaths. Death Accident/Violence Background characteristics Yes No Total Age group Southern Sudan 25.6 74.4 100 0 17.5 82.5 100 1-4 21.8 78.2 100 5-9 28.4 71.6 100 10-14 33.4 66.6 100 15-19 32.6 67.4 100 20-24 37.2 62.8 100 25-29 39.3 60.7 100 30-34 30.5 69.5 100 35-39 29.0 71.0 100 40-44 32.7 67.3 100 45-49 40.5 59.5 100 50-54 14.2 85.8 100 55-59 24.9 75.1 100 60-64 27.0 73.0 100 65+ 15.4 84.6 100

114 Table 10-5 Reported deaths of women aged 12-54 during pregnancy or delivery in the twelve months before the census by age group. Number. Death Pregnancy/Delivery Background characteristics Yes No Total Age group Southern Sudan 4,434 14,783 19,217 12-14 657 2,642 3,299 15-19 1,298 4,069 5,368 20-24 1,151 2,550 3,700 25-29 512 1,447 1,959 30-34 391 1,470 1,862 35-39 128 680 809 40-44 178 844 1,022 45-49 117 546 663 50-54 1 535 536 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

Table 10-6: Reported deaths of women aged 12-54 during pregnancy or delivery in the twelve months before the census by age group. Percentage of deaths. Death Pregnancy/Delivery Background characteristics Yes No Total Age group Southern Sudan 23.1 76.9 100 12-14 19.9 80.1 100 15-19 24.2 75.8 100 20-24 31.1 68.9 100 25-29 26.1 73.9 100 30-34 21.0 79.0 100 35-39 15.9 84.1 100 40-44 17.5 82.5 100 45-49 17.7 82.3 100 50-54 0.2 99.8 100 Source: 5th Sudan Population and Housing Census, 2008. Note: The ﬁgures in this table are derived from survey data. They are representative only of private households, internally displaced persons, refugees and nomads, and do not include cattle camps, institutional households, homeless people or overnight travelers.

115 Appendix A: Notes Table 5-5 and 5-6: Explanation of industry aggregates) Industries of respondents were recorded using International Standard Industrial Classification (ISIC) Rev. 4 two-digit codes. Industries were aggregated for production of the tables as follows: 01-09: ‘Agriculture, forestry, fishing and mining’ 10-33: ‘Manufacturing’ 35-43: ‘Construction and utilities supply’ 45-47: ‘Wholesale, retail trade and repair of motor vehicles’ 49-56:‘Accommodation, food service, transportation and storage’ 58-82, 90-96, 99:‘Other service and professional/technical activities’ 84: ‘Public administration and defence, compulsory social security’ 85-88: ‘Education, health and social work’ 97-98: ‘Household production for own use/Domestic personnel’ Table 8-4: Explanation of water sources Mechanical borehole or filtering station: one of the following sources: • Water filtering station: Town water supply system, in which water is filtered and does not cause sickness when drunk. • Mechanical borehole: Borehole with a mechanical pump and common network • Borehole (Donkey) with or without network: Like a mechanical borehole but with a big container (the ‘donkey’) to hold and distribute water when pump or water is not working/ available. Hand pump: Borehole operated by a hand pump with no network. This is the most common water source in southern Sudan. Sand Filter with common network: Container of water that has sand in the bottom that is filtered by gravity and dispersed through pipes. Not healthy without boiling or chlorine. Shallow Well: Hand dug, normally for one family or a small group of families. Not healthy as it is open to the air. Hafeeer/Dam (with or without filter): Dam without filter is an open catchment for rainwater in the ground, often with bricks or some low retaining wall around edges. Dam with filter is the same, but with the water elevated to a container and filtered via gravity River or still water: Either running water (river) or still water (pond) Water Vendor: Water bought may or may not be from a borehole, but its cleanliness is uncertain

116 Appendix B: Long Form Questionnaire (LFQ)

117 IIIII 111111111111111111111111111111111111111111111111111111111111111111111111 111111111111111111 11111111 i I ~ ::: [ ~ ~ ~ .., ., .. I II I I

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119 l " 54 ~ 1 ur i " 2· i 1 ~~:? hocc: ,h -'m No l 2 2 9 J J 3 " 3 3 ' ! I Yes .-t 999 on i ) . 5 11ran Yes Yes Yes Yes Yes Yes Yes No No No No No No ew uuu.J.J__j..jU Oidthtdt _ . mote rvi ~ u _ I . Females ~~~= Q54...... nte '2 i to apply 3 3 3 ! ~ ~ ~ 2 2 2 7 :\ ! orm s rf End • i ( e~~~~~!Z~~ ~~l~~~~z~~ ii9S~si7ii e~&~~~~z~~ e~z~~~~z~~ ~nn~nn ii2S~~'i'7ii !!!~~~!~!! i?23~5i98'i nnnnn Uuuutwuuuuu 0 uuu uuuuuuuuuu uuuuuuuutwu o1'2S45'i'9i9 h t I activities? pe allftlai related W~t$the o o ~ d l . No No No No No N N Yes Yes Yes Yes Yes Yes Yes lof ery h Does violence? tithtraeeidtnt 053 death or.ctof :. No fis . al """""' 47 any Q househo ile r loc es) ng i z z z z z ~ ~ ~ ~ ~ 7 ? 7 7 E 1 Code nam orses ( us H Pigs Poultry Donkeys ~ ~ ~ ~ . (list 5 5 s ! 5 5 e a ! age l ~ ~ ~ ~! ~ ~ ~ 4 4 owned J '4 ' yem animals? lly ~ ~ n~ ~ 3 3 3 3' mate P' s ...... i' ! ! ! ! i a ted es mmuna rti ""' 9 Y • est o a h . P t C r ~ ~ s 1 1 ! ~ ~ ~ 1 1 1 comple following ~...... d•a in enda l at ~ the 3 1 1 ca unknown, of 3 Age is ted 931~i9ii 2' ""'""'""' any en n months? age 123't'Si'i'ii Owned R Q52. Rocord If historic ow 12 i~2S~~i7i9 !~:!~~~~Z~! !~~~~~~z~a i~ ~~lg~~~z~~ ~~z~~~~z~~ ~~~~t~~Z~! ~~~~t~~z~~ i ~ ~~zg~~~z~~ nnnnn i ...... ~ ~ J 3 3 3 ~ ~ ~ 2 2 2 2 " past on? enure i t le Was or ale ale the e e e e e e e . deceased l l l l l l l household under ma m m tho in Ma Ma Ma Ma Ma Ma Ma Female Fe Female Fe Female Fe Female is the Q51 his Male Female? ld I s o land s. t mel of oa What Does Ca Sheep Callie G ~ ~ ~ ~ . . househ s status Q46 cullivalionlplanfat i Q48 th f o by Q47 ~ d i jj ~ fb l lo I ip k tivated S l members r ANS r ~ 1 cu e househo ffee liOn ga r? DD o a E Tea Su Co C Olll ye F this No Yes among being in ~ did ous i J 9 9 area 8188 ~ ~ ] Z 2 J 3 '9 rev deaths deceased p o'i2S<~'i'7'i'9 ~i~s1~i9ii nnnnn he ...... y rlt. crops t a Code the an of is the e m household ts i<: e of r u d? p ge ng l antation apply} uber r N l S 999 ri T type this the la u les d gei d b n any that ed and a a r tlum ame(s) ela ls all How What Se Does i lies? Were N l l househo vate ivation/p i rk s Beve Leguminous lt Fru Rool Veg a Oi Cereals i more Area th If Q43. cu actlv Q44. Q45. cult perform (M ~ Q49. Q50. ) ) d l . apply z ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 3: l 3 ! ! • - ~ ~ aPfiY r t source that l l N tha I e aN n ry y household househo oile oile l l il MA bi s s nd i i s ark Ia transport ' se a private lel th th M ri b facil Mark"" - ( f s oi ( pi! flush p ffush t tor ) ne r o of u l shaw e ri h oner e ne k ed i i red r l al nt ng? ng? IO!el l - farming i i ric e used d uck r imal o Sha Sha P1t r Privale No B household aid o condit mal (lan i an crop member member Si salaries follow follow e Mol e r the an i si l Air d n e o ce ncome i / r n ces i ity o dish any ol any is h is the e a business larian il n and phone r i e lboa ve type t d? cyd p/l ofthe l stence stan on of this i i i fac ype n e l ar i rigerat cooler ned yde l noe man What Does Does n What by et xed l any a adiolt ef any ubs i ractor . . ma Molor Mo Bic None Any Ajr Wages Television T CornJ)IJt Satelli Subs OIY S C Mobile Non Pens Fa Property Remitta Hu R R F livelihood? of Q41. Q42 the oftoi own own Q39 Q40. used househo of of this ce z z ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 2 2 2 r 3 a ! ! jj ! ! ! 9 !9 10 !} !l j j - - J ' · in sou source ) - - - ) - CHARACTERISTICS main - - main . cooking (9""'*) household? I - - - the II the p for (kost1k koshk r ···'···· ( s s m this l i i ng a .. lanlem l we t household? wax u city at pe ld? IUI s electricity eie of river wells s ho . ( i v.orl< th of i it common - co etw open ? w beare . th still w w water - n does of - ( nae ll th lo ~ l .... . y) .i oo es Nith • ! •talus (sti c . ttlr ing s moo part M scurce d fi c:i< ste ll source opln Wl>:xl n es t ~ wells) l ter m mud l n . ons l bri ure er i as i I of t ti fi - do donkey) • n I s co ( ( hol dwe mals rom e ( f e 12 te ic:! ~~i· .. s I I 111111111111111 .~~

~~120~~

~~Southern Sudan Centre for Census Statistics and Evaluation, P.O. Box 137, Juba. | Tel: +249 811 823 835 | email: [email protected] | www.ssccse.org~~