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Rural Non-Farm Income and Inequality in Nigeria
2. BACKGROUND INFORMATION, DATA AND SURVEY AREA The utilized data were collected from five different villages surveyed in rural Northern Nigeria between 2004 and 2005. These villages are situated within the Hadejia-Nguru floodplain wetlands of Jigawa state in Northern Nigeria. Data were collected from 200 households selected using a multi-stage stratified random sampling approach. The first sampling stratum was selection of the dry savanna region of northern Nigeria, which comprises six states: Sokoto, Kebbi, Zamfara, Kano, Kaduna and Jigawa. The second stratum was the selection of Jigawa state. Two important elements informed this choice. First, Jigawa state, which was carved out of Kano state in August 1991, has the highest rural population in Nigeria; about 93 percent of the state’s population dwells in rural areas3. Second, agriculture is the dominant sector of the state’s economy, providing employment for over 90 percent of the active labor force. For effective grassroots coverage of the various agricultural activities in Jigawa state, the Jigawa Agricultural and Rural Development (JARDA) is divided into four operational zones that are headquartered in the cities of Birni Kudu, Gumel, Hadejia and Kazaure. Hadejia was selected for this study, forming the third stratum of sampling. Within the Hadejia emirate, there are eight Local Government Areas (LGAs): Auyo, Birniwa, Hadejia, Kaffin-Hausa, Mallam Madori, Kaugama, Kirikasamma and Guri. Kirikasamma LGA was selected for this study, representing the fourth sampling stratum. Kirikassama LGA was specifically chosen because of the area’s intensive economic development and correspondingly higher human population compared to many other parts of Nigeria. In the fifth stratum of sampling, five villages were selected from Kirikassama LGA: Jiyan, Likori, Matarar Galadima, Turabu and Madachi. -
Nigeria's Constitution of 1999
PDF generated: 26 Aug 2021, 16:42 constituteproject.org Nigeria's Constitution of 1999 This complete constitution has been generated from excerpts of texts from the repository of the Comparative Constitutions Project, and distributed on constituteproject.org. constituteproject.org PDF generated: 26 Aug 2021, 16:42 Table of contents Preamble . 5 Chapter I: General Provisions . 5 Part I: Federal Republic of Nigeria . 5 Part II: Powers of the Federal Republic of Nigeria . 6 Chapter II: Fundamental Objectives and Directive Principles of State Policy . 13 Chapter III: Citizenship . 17 Chapter IV: Fundamental Rights . 20 Chapter V: The Legislature . 28 Part I: National Assembly . 28 A. Composition and Staff of National Assembly . 28 B. Procedure for Summoning and Dissolution of National Assembly . 29 C. Qualifications for Membership of National Assembly and Right of Attendance . 32 D. Elections to National Assembly . 35 E. Powers and Control over Public Funds . 36 Part II: House of Assembly of a State . 40 A. Composition and Staff of House of Assembly . 40 B. Procedure for Summoning and Dissolution of House of Assembly . 41 C. Qualification for Membership of House of Assembly and Right of Attendance . 43 D. Elections to a House of Assembly . 45 E. Powers and Control over Public Funds . 47 Chapter VI: The Executive . 50 Part I: Federal Executive . 50 A. The President of the Federation . 50 B. Establishment of Certain Federal Executive Bodies . 58 C. Public Revenue . 61 D. The Public Service of the Federation . 63 Part II: State Executive . 65 A. Governor of a State . 65 B. Establishment of Certain State Executive Bodies . -
Transforming Basic Education in Jigawa
Background Jigawa is taking bold steps in addressing challenges within its education sector. After recent elections the team of the Commissioner and Executive Chair of the State Universal Basic Education Board (SUBEB) were retained to continue addressing inadequate funding, poor learning outcomes, weak systems for monitoring learning achievements, and the limited capacity of the state tertiary institutions to produce enough capable teachers. ESSPIN is committed to ensuring that Jigawa achieves its education targets in line with strategic priorities as state resources are utilized to replicate teacher training using ESSPIN’s School Improvement model. With ESSPIN’s help, Jigawa’s SUBEB has led in accessing and utilising federal government UBEC funds. Three of its Local Government Authorities (LGAs) are targeted for the Federal Government MDG conditional grants of about N200 million each. ESSPIN’s contribution ESSPIN has continued to support Jigawa’s Ministry of Education and SUBEB in a quest to improve the planning, management and delivery of quality education offered to children. This also involves generating greater community participation in the management of local schools through the development of effective School Based Management Committees (SBMCs). In selected LGAs, Gender Officers have been trained to support girls in schools, thereby helping raise girl child enrolment. The infrastructure work has progressed considerably with phase 2 of the work targeted to benefit 14,000 pupils in various primary schools across the state. Significant improvements are recorded in the literacy and numeracy levels in tsangaya schools across the state and pupils are excitedly taking part in literacy and numeracy lessons. ESSPIN Impact in schools State School Improvement Team Support - The SSIT has delivered 2,972 and 432 person days of training to head teachers and teachers. -
PATHS2 in Motion a Photostory of PATHS2 Activities National /October 2010
PATHS2 In Motion A photostory of PATHS2 activities National /October 2010 Ask Nigeria ...Naija health talk Rolls out in four states “The voice of the people is louder than the boom of a canon” African proverb Ask Nigeria is a community-based public health Focus of Ask Nigeria Pilot dialogue process Primary Focus: A campaign to ‘Ask Nigeria’ what it that offers an knows, thinks and feels about issues opportunity for to do with malaria and pregnancy Secondary Focus: community To learn about the barriers and motivations to change, the role that the health services should play and members, service to apply these knowledge to motivate behavior change among providers and the target groups media to be part of lively and engaging Contents discussions about Introduction- Ask Nigeria 3 health. Background 6 Process 11 Partnerships 14 The voices 18 Special thanks 21 About PATHS2 22 4 Paths2 In Motion INTERLUDE “Please let’s call a spade a spade! Let us be fair to ourselves…we need to change our attitude. Tell us more about family planning. How do we access the services?" Abubakar, A community Leader Group Discussant, Dutse Local Government, Jigawa state Paths2 In Motion 5 A isha and Abubukar are just two out of the over 2,000 community persons who were opportuned to ask important questions about their health and get life-saving answers at the PATHS2 supported Ask Nigeria public health dialogues. “I am 24 years old; this baby you are seeing is the eighth. Whenever I am pregnant, I always suffer especially during delivery…I need advice on how to take care of myself.” Aisha Duru, Duru Community Discussant, Dutse Local Government, Jigawa state 6 Paths2 In Motion Background I n eight urban and rural communities in Nigeria, a community-based health opinion poll was conducted. -
Survey Report for Out-Of-School Children in Jigawa
SURVEY REPORT FOR OUT-OF-SCHOOL CHILDREN IN JIGAWA STATE, NIGERIA CO-ORDINATED BY JIGAWA STATE GOVERNMENT IN COLLABORATION WITH ESSPIN August, 2014 Page | 1 Table of Contents Cover page i Acknowledgements iii Preface iv List of Tables v List of Figures vi Acronyms vii Executive Summary viii Section One: Introduction 1 1.1 Background 1 1.2 Objectives 2 1.3 Framework for Out-of-School Children 2 1.4 Profile of Jigawa State 4 Section Two: Methodology 6 2.1 Survey Planning for Out-of-School Children 6 2.2 Sampling Design 7 2.3 Data Quality and Supervision 7 2.4 Pilot Survey 8 2.5 Process of Data Collection and Analysis 9 Section Three: Results for Out-of-School Children 10 3.1 Number of Households and Population Size 10 3.2 Number of Out-of-School Children 12 3.3 Number of Children Attending Schools 20 3.4 Percentages of Out-of-School Children 24 Section Four: Possible Risk Factors for Out-of-School Children 27 4.1 Reasons for Out-of-School Children 27 4.2 Socio-Economic Relationships with Out-of-School Status 28 Section Five: Conclusion and Recommendations 42 5.1 Conclusion 42 5.2 Suggestions and the way forward 45 5.3 Limitations 46 References 47 Appendix A: Questionnaire 48 Page | 2 Appendix B: Interview Guide 52 Appendix C: Number of Children in the Sampled Household 53 Appendix D: Percentages of Children that Dropout from School 54 Appendix E: Percentages of Children that Never Attended School 55 Appendix F: Percentages of Children Attending Only Islamiyya/Quranic 56 Schools Appendix G: Percentages of Children Attending any Form of School 57 Appendix H: Population Projection (3-18) by Age, Sex and LGA, 2014 58 Appendix I: Sampling Variability and Ranges for OOS Children 59 Page | 3 Acknowledgements Education planning is incomplete without credible statistics on out-of-school children. -
A Study of Violence-Related Deaths in Nafada Local Government Area Of
# Makai DANIEL http://www.ifra-nigeria.org/IMG/pdf/violence-related-deaths-gombe-jigawa-state-nigeria.pdf A Study of Violence-Related Deaths in Nafada Local Government Area of Gombe State and Auyo, Gagarawa, Gumel, Gwiwa, Kaugama and Yankwasi Local Government Areas of Jigawa State (2006-2014) IFRA-Nigeria working papers series, n°46 20/01/2015 The ‘Invisible Violence’ Project Based in the premises of the French Institute for Research in Africa on the campus of the University of Ibadan, Nigeria Watch is a database project that has monitored fatal incidents and human security in Nigeria since 1 June 2006. The database compiles violent deaths on a daily basis, including fatalities resulting from accidents. It relies on a thorough reading of the Nigerian press (15 dailies & weeklies) and reports from human rights organisations. The two main objectives are to identify dangerous areas and assess the evolution of violence in the country. However, violence is not always reported by the media, especially in remote rural areas that are difficult to access. Hence, in the last 8 years, Nigeria Watch has not recorded any report of fatal incidents in some of the 774 Local Government Areas (LGAs) of the Nigerian Federation. There are two possibilities: either these places were very peaceful, or they were not covered by the media. This series of surveys thus investigates ‘invisible’ violence. By 1 November 2014, there were still 23 LGAs with no report of fatal incidents in the Nigeria Watch database: Udung Uko and Urue-Offong/Oruko (Akwa Ibom), Kwaya Kusar (Borno), Nafada (Gombe), Auyo, Gagarawa, Kaugama and Yankwashi (Jigawa), Ingawa and Matazu (Katsina), Sakaba (Kebbi), Bassa, Igalamela- Odolu and Mopa-Muro (Kogi), Toto (Nassarawa), Ifedayo (Osun), Gudu and Gwadabaw (Sokoto), Ussa (Taraba), and Karasuwa, Machina, Nguru and Yunusari (Yobe). -
© Copyright 2018 Nicholas Robison
© Copyright 2018 Nicholas Robison The Problem of Time: Addressing challenges in spatio-temporal data integration Nicholas Robison A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2018 Reading Committee: Neil F. Abernethy, Chair Abraham Flaxman Ian Painter Program Authorized to Offer Degree: Biomedical and Health Informatics Abstract The Problem of Time: Addressing challenges in spatio-temporal data integration Nicholas Robison Chair of the Supervisory Committee: Neil F. Abernethy Department of Biomedical Informatics and Medical Education Across scientific disciplines, an ever-growing proportion of data can be effectively described in spatial terms. As researchers have become comfortable with techniques for dealing with spatial data, the next progression is to not only model the data itself, but also the complexities of the dynamic environment it represents. This has led to the rise of spatio-temporal modeling and the development of robust statistical methods for effectively modeling and understanding interactions between complex and dynamic systems. Unfortunately, many of these techniques are an extension to existing spatial analysis methods and struggle to account for the data complexity introduced by the added temporal dimension; this has limited many researchers to developing statistical and visual models that assume either a static state of the world, or one modeled by a set of specific temporal snapshots. This challenge is especially acute in the world of public health where researchers attempting to visualize historical, spatial data, often find themselves forced to ignore shifting geographic features because both the tooling and the existing data sources are insufficient. Consider, as an example, a model of vaccine coverage for the administrative regions of Sudan over the past 30 years. -
Survey of Functional and Non-Functional Fish Hatchery in Jigawa State, Nigeria
Survey of functional and non-functional fish hatchery in Jigawa State, Nigeria Item Type conference_item Authors Nasir, M.A.; Farida, S.; Laurat, T.; Nafisat, M.D.; Awawu, D. Publisher FISON Download date 29/09/2021 05:13:55 Link to Item http://hdl.handle.net/1834/39009 94 Survey of functional and non-functional fish hatchery in Jigawa State, Nigeria Nasir, M.A. / Farida, S./ Laurai, T./ Nafisat, M. D. / Awawu, D. Abstract This study was conducted in thefive emirate zones of Jigawa. The number offunctional and non-functional fish hatcheries wereinveJo tigated in the state. The results showed that there were 35fish hatcheries in the state, and private ownership (57.J 4%) dominatethl government ownership (42.16%). all with less than 100,000fingerlings production annually. The study also indicate that out ofthl 35fish hatcheries J 5 werefound to befunctional in operation and 20 arefound existing but notfunctional in operation. Based ontilt field survey, all the respondent are of the opinion that the level of production and number of'functional hatcheries in the state arelow Recommendations were made on how to improve hatchery operation that could help to boost aquaculture development in the state. Keywords: Jigawa, fish hatchery.functional, non-functional. Introduction ish is a rich source of animal protein and its culture is an efficient protein food production system from aquatic environ ment (Olanrewaju et al., 2009). There is no doubt that fish production through aquaculture in Jigawa state is at its infan Fstage. Much attention been directed towards increasing fish production through aquaculture in Nigeria, because ofth economic and nutritional importance offish to the populace.However, it is often negligible in Jigawa state because of certai constraints which fish seed scarcity is inclusive (Adamu et al., 1993). -
Research Article Prevalence of Bovine Brucellosis and Risk Factors Assessment in Cattle Herds in Jigawa State
International Scholarly Research Network ISRN Veterinary Science Volume 2011, Article ID 132897, 4 pages doi:10.5402/2011/132897 Research Article Prevalence of Bovine Brucellosis and Risk Factors Assessment in Cattle Herds in Jigawa State Farouk U. Mohammed,1 Salisu Ibrahim,2 Ikwe Ajogi,3 and Bale J. O. Olaniyi4 1 Animal Reproduction Unit, Jigawa Research Institute, Kazaure, Jigawa State, Nigeria 2 Department of Veterinary Surgery and Medicine, Faculty of Veterinary Medicine, Ahmadu Bello University, P.O. Box 720 Zaria, Kaduna state, Nigeria 3 Department of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, Ahmadu Bello University, P.O. Box 720 Zaria, Kaduna state, Nigeria 4 National Animal Production Research Institute Shika, Ahmadu Bello University, P.O. Box 720 Zaria, Kaduna state, Nigeria Correspondence should be addressed to Salisu Ibrahim, [email protected] Received 2 November 2011; Accepted 7 December 2011 Academic Editor: I. Lopez´ Goni˜ Copyright © 2011 Farouk U. Mohammed et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A serological survey of Brucella antibodies was carried out in Jigawa State, northwestern Nigeria to determine the prevalence of the disease and risk factors among some pastoralist cattle herds. A total of 570 cattle of differentagesandsexesselectedfrom 20 herds across the four agroecological zones in the state were screened using Rose Bengal Plate test and competitive enzyme immunoassay. From the results 23 cattle (4.04%) were positive by Rose Bengal Plate Test while 22(3.86%) were positive with competitive enzyme immunoassay. -
Jigawa Code: 17 Lga : Auyo Code: 01 Name of Registration Name of Reg
INDEPENDENT NATIONAL ELECTORAL COMMISSION (INEC) STATE: JIGAWA CODE: 17 LGA : AUYO CODE: 01 NAME OF REGISTRATION NAME OF REG. AREA COLLATION S/N CODE NAME OF REG. AREA CENTRE (RAC) AREA (RA) CENTRE (RACC) 1 AUYO 01 AUYO SPECIAL PRI. SCH AUYO SPECIAL PRI. SCH 2 AUYAKAYI 02 AUYAKAYI PRI. SCH AUYAKAYI PRI. SCH 3 AYAMA 03 AYAMA PRI SCH AYAMA PRI SCH 4 AYAN 04 AYAN PRI SCH AYAN PRI SCH 5 GAMAFOI 05 GAMAFOI PRI. SCH GAMAFOI PRI. SCH 6 GATAFA 06 GATAFA PRI SCH GATAFA PRI SCH 7 GAMSARKA 07 GAMSARKA PRI SCH GAMSARKA PRI SCH 8 KAFUR 08 KAFUR PRI SCH KAFUR PRI SCH 9 TSIDIR 09 TSIDIR PRI SCH TSIDIR PRI SCH 10 UNIK 10 UNIK PRI SCH UNIK PRI SCH TOTAL LGA : BABURA CODE: 02 NAME OF REGISTRATION NAME OF REG. AREA COLLATION S/N CODE NAME OF REG. AREA CENTRE (RAC) AREA (RA) CENTRE (RACC) 1 BABURA 01 AREWA PRI.SCH AREWA PRI.SCH 2 BATALI 02 BATALI PRI SCH BATALI PRI SCH 3 DORAWA 03 DORAWA PRI. SCH DORAWA PRI. SCH 4 GARU 04 GARU PRI SCH GARU PRI SCH 5 GASAKOLI 05 GASAKOLI PRI. SCH GASAKOLI PRI. SCH 6 INSHARUWA 06 INSHARUWA PRI SC INSHARUWA PRI SC 7 JIGAWA 07 JIGAWA PRI SCH JIGAWA PRI SCH 8 KANYA 08 KANYA PRI. SCH KANYA PRI. SCH 9 KAZUNZUMI 09 KAZUNZUMI PRI SCH KAZUNZUMI PRI SCH 10 KYAMBO 10 KYAMBO PRI SCH KYAMBO PRI SCH 11 TAKWASA 11 TAKWASA PRI SCH TAKWASA PRI SCH TOTAL LGA : BIRRIN-KUDU CODE: 03 NAME OF REGISTRATION NAME OF REG. -
Effects of Flood on Environmental Quality in Ringim, Jigawa State
IJSGS FUGUSAU VOL. 6 (3), OCTOBER, 2020 WEBSITE: http://journals.fugusau.edu.ng ISSN: 2488-9229 FEDERAL UNIVERSITY IJSGS GUSAU-NIGERIA INTERNATIONAL JOURNAL OF SCIENCE FOR GLOBAL SUSTAINABILITY Effects of Flood on Environmental Quality in Ringim, Jigawa State, Northern Nigeria 1Ibrahim Muhammad and *2Tasi’u Yalwa Rilwanu 1 Jigawa State Ministry of Education Science and Technology 2Department of Geography, Bayero University, Kano *Corresponding author’s Email & Phone No.:- [email protected]; [email protected] +2348039535378 Received on: August, 2020 Revised and Accepted on: September, 2020 Published on: October, 2020 ABSTRACT The aim of the study was to determine the level of flood risk and its effects on environmental quality in Ringim Local Government Area. Dabi, Kyarama, Ringim, Sintilmawa and Yandutse were purposively selected being the most flood prone in which 400 questionnaires were administered. Observation method was also adopted in the study. Flood risk map was developed through simulation method using GIS spatial analyst. Descriptive statistics particularly percentage was employed in SPSS software. Result indicated that flood used to occur every year according to 85.5% of the respondent. The worst scenarios of flood in the area occurred in 2012, 2015 and 2018 according to 384, 287 and 400 respondents respectively. Simulation result categorised the area into high risk 354.1km2 (33.1%), medium risk 507.4km2 (48.0%) and low risk 195.5 km2 (18.5%). Larger part of the respondents (93%) indicated that flood disaster has serious negative effects on environmental quality in the area. Over 50% of the respondents in the whole areas indicated that the major form of land damage due to flooding is through erosion and land degradation. -
States and Lcdas Codes.Cdr
PFA CODES 28 UKANEFUN KPK AK 6 CHIBOK CBK BO 8 ETSAKO-EAST AGD ED 20 ONUIMO KWE IM 32 RIMIN-GADO RMG KN KWARA 9 IJEBU-NORTH JGB OG 30 OYO-EAST YYY OY YOBE 1 Stanbic IBTC Pension Managers Limited 0021 29 URU OFFONG ORUKO UFG AK 7 DAMBOA DAM BO 9 ETSAKO-WEST AUC ED 21 ORLU RLU IM 33 ROGO RGG KN S/N LGA NAME LGA STATE 10 IJEBU-NORTH-EAST JNE OG 31 SAKI-EAST GMD OY S/N LGA NAME LGA STATE 2 Premium Pension Limited 0022 30 URUAN DUU AK 8 DIKWA DKW BO 10 IGUEBEN GUE ED 22 ORSU AWT IM 34 SHANONO SNN KN CODE CODE 11 IJEBU-ODE JBD OG 32 SAKI-WEST SHK OY CODE CODE 3 Leadway Pensure PFA Limited 0023 31 UYO UYY AK 9 GUBIO GUB BO 11 IKPOBA-OKHA DGE ED 23 ORU-EAST MMA IM 35 SUMAILA SML KN 1 ASA AFN KW 12 IKENNE KNN OG 33 SURULERE RSD OY 1 BADE GSH YB 4 Sigma Pensions Limited 0024 10 GUZAMALA GZM BO 12 OREDO BEN ED 24 ORU-WEST NGB IM 36 TAKAI TAK KN 2 BARUTEN KSB KW 13 IMEKO-AFON MEK OG 2 BOSARI DPH YB 5 Pensions Alliance Limited 0025 ANAMBRA 11 GWOZA GZA BO 13 ORHIONMWON ABD ED 25 OWERRI-MUNICIPAL WER IM 37 TARAUNI TRN KN 3 EDU LAF KW 14 IPOKIA PKA OG PLATEAU 3 DAMATURU DTR YB 6 ARM Pension Managers Limited 0026 S/N LGA NAME LGA STATE 12 HAWUL HWL BO 14 OVIA-NORTH-EAST AKA ED 26 26 OWERRI-NORTH RRT IM 38 TOFA TEA KN 4 EKITI ARP KW 15 OBAFEMI OWODE WDE OG S/N LGA NAME LGA STATE 4 FIKA FKA YB 7 Trustfund Pensions Plc 0028 CODE CODE 13 JERE JRE BO 15 OVIA-SOUTH-WEST GBZ ED 27 27 OWERRI-WEST UMG IM 39 TSANYAWA TYW KN 5 IFELODUN SHA KW 16 ODEDAH DED OG CODE CODE 5 FUNE FUN YB 8 First Guarantee Pension Limited 0029 1 AGUATA AGU AN 14 KAGA KGG BO 16 OWAN-EAST