Uttar Pradesh: Disease Burden Profile, 1990 to 2016

Total Page:16

File Type:pdf, Size:1020Kb

Uttar Pradesh: Disease Burden Profile, 1990 to 2016 Uttar Pradesh: Disease Burden Profile, 1990 to 2016 1990 life epectancy 2016 life epectancy Females 55 years ales 59 years Females 66 years ales 66 years How much did the under-5 mortality rate change from 1990 to 2016? How much did the under-5 mortality rate change from 1990 to 2016? Under-5Under-5 mortality mortality rate, both rate, sexes combined, both sexes 1990-2016 combined, 1990-2016 Uttar Pradesh nder- rate India nder- rate Caratie aerae rate lall r siilar Si-derahi Inde as Uttar Pradesh 150 100 48.7 Deaths per 1,000 lie births 50 48. 9.2 The shaded bands indicate 95% uncertainty intervals around 0 the estimates 1990 1995 2000 2005 2010 2016 Year What caused the most deaths in different age groups in 2016? PercentWhat contribution caused of the top 10 most causes deaths of death by in age different group, both sexes,age 2016groups in 2016? Percent contribution of top 10 causes of death by age group, both sexes, 2016 0−14 years [14.1% of total deaths] 15−39 years [11.9% of total deaths] 1 3.3% 12 HIIDS terlsis 114 DiarrheaRIther 5 135 4 0 NDs† alaria 15 136 Maternal disrders 125 401 3 Nenatal disrders Nutritional deficiencies 49 96 ther niale diseases 64 Caners 33 124 3 9 Cardiaslar diseases Chrni resiratr diseases 3.3% 5 Cirrhsis Diestie diseases Nerlial disrders 40−69 years [38.1% of total deaths] 70+ years [35.9% of total deaths] Diaetesr‡ldend§ 2 ther nn-niale 0 ransrt inries 103 51 51 41 45 Unintentinal inries 32 62 2 105 56 35 Siide ilene 245 35 ther ases death 22 RI is lwer resiratr inetins. 12 †NDs are neleted trial diseases. 211 ‡Ur is renital diseases. 62 §End is endrine diseases. 1 23 24 India: Health of the Nation's States — The India State-Level Disease Burden Initiative. New Delhi: ICMR, PHFI, and IHME; 2017. ISBN 978-0-9976462-1-4. 1 Proportion of total disease burden from Premature death 16 | Disability or morbidity 2 What caused the most years of life lost by sex, in 2016? Top 15 causes of YLLs, ranked by percent for both sexes combined, 2016 Females ales Ischaemic heart disease Lower respiratory infections Diarrhoeal diseases COPD* Tuberculosis Preterm birth complications Other neonatal disorders Road injuries Suicide Intestinal infectious diseases Congenital birth defects Stroke Neonatal encephalopathy Asthma Falls 12 9 6 3 0 0 3 6 9 12 Percent of total years of life lost due to premature mortality Percent of total years of life lost due to premature mortality Communicable, maternal, neonatal, and nutritional diseases on-communicable diseases nuries What caused the most years lived with disability,*COPD by is chronic sex, obstructive in 2016? pulmonary disease. Top 15 causes of YLDs, ranked by percent for both sexes combined, 2016 Females ales Iron-deficiency anaemia Sense organ diseases* Low back & neck pain Migraine Skin diseases Other musculoskeletal COPD* Depressive disorders Anxiety disorders Diabetes Falls Preterm birth complications Oral disorders Protein-energy malnutrition Haemoglobinopathies 16 12 8 4 0 0 4 8 12 16 Percent of total years lied ith disability Percent of total years lied ith disability Communicable, maternal, neonatal, and nutritional diseases on-communicable diseases nuries *COPD is chronic obstructive pulmonary disease. *Sense organ diseases includes mainly hearing and vision loss. 2 Uttar Pradesh Proportion of total disease burden from CDs 05 | CDs 9 | nuries 116 HowHow havehave the leading causescauses of of death death and and disability disability combined combined changed changed from from 1990 1990 to 2016? to 2016? ChangeChange in top 15 causes of of DALYs, DALYs, both both sexes, sexes, ranked ranked by by number number of ofDALYs, DALYs, 1990 1990–2016–2016 Cniale, aternal, Nn-niale diseases Inries sae r inrease derease nenatal, and ntritinal diseases Leading causes of DALYs 1990 Leading causes of DALYs 2016 Diarrhoeal diseases [15.7%] 1 1 COPD† [6.1%] Lower respiratory infections [11.2%] 2 2 Diarrhoeal diseases [6.0%] Tuberculosis [5.5%] 3 3 Ischaemic heart disease [5.8%] Tetanus [4.6%] 4 4 Lower respiratory infections [5.7%] Measles [4.5%] 5 5 Tuberculosis [5.0%] Preterm birth complications [3.7%] 6 6 Preterm birth complications [3.7%]* Other neonatal disorders [3.6%] 7 7 Iron-deficiency anaemia [3.3%] COPD† [3.6%] 8 8 Road injuries [3.0%] Neonatal encephalopathy [2.5%] 9 9 Other neonatal disorders [2.9%]* Intestinal infectious diseases [2.3%] 10 10 Sense organ diseases‡ [2.4%] Ischaemic heart disease [2.2%] 11 11 Congenital birth defects [2.1%]* Iron-deficiency anaemia [1.8%] 12 12 Self-harm§ [2.0%] Protein-energy malnutrition [1.7%] 1 1 Stroke [1.9%] Asthma [1.6%] 14 14 Falls [1.8%] Congenital birth defects [1.5%] 1 1 Intestinal infectious diseases [1.8%] Road injuries [1.5%] 16 19 Asthma [1.7%]* Sense organ diseases‡ [1.1%] 18 21 Neonatal encephalopathy [1.5%] Self-harm§ [1.1%] 19 24 Protein-energy malnutrition [1.1%] Falls [1.0%] 21 33 Measles [0.7%] Stroke [1.0%] 22 68 Tetanus [0.3%] *Change not significant. †COPD is chronic obstructive pulmonary disease. The percent figure in brackets next to each cause is ‡Sense organ diseases includes mainly hearing and vision loss. DALYs from that cause out of total DALYs. § Sel-harm refers to suicide and the nonfatal outcomes of self-harm. WhatWhat caused the the most most death death and and disability disability combined combined across across age groups age groups in 2016? in 2016? PercentPercent ofof DALYs by age group, bothboth sexes,sexes, 2016 2016 25 [2.26] 20 15 Percent of total DALYs Percent 10 [2.17] [1.74] [1.41] [2.71] [0.46] [0.79] [1.12] [0.56] [0.6] [0.67] [0.92] 5 [3.28] [0.32] [0.31] [3.71] [4.15] [4.44] 0 5 to 9 (11%) 85+ (<1%) Under 5 (10%) 10 to 14 (11%)15 to 19 (11%) 20 to 24 (9%) 25 to 29 (8%) 30 to 34 (7%) 35 to 39 (6%) 40 to 44 (5%) 45 to 49 (5%) 50 to 54 (4%) 55 to 59 (3%) 60 to 64 (3%) 65 to 69 (2%) 70 to 74 (1%) 75 to 79 (1%) 80 to 84 (1%) Age Communicable, maternal, neonatal, and nutritional diseases on-communicable diseases nuries The number in the bracket on top of each vertical bar is the ratio of percent DALYs to population for that age group. The number in parentheses after each age group on the x-axis is the percent of population in that age group. Uttar Pradesh 3 What risk factors are driving the most death and disability combined? Contribution of top 10 risks to DALYs number, both sexes, ranked by number of DALYs, 1990-2016 What riskrisk factors factors are are driving driving the the most most death death and and disability disability combined? combined? ContributionBehavioural of of top top 10 10 risksEnvironmental/occupational risks to to DALYs DALYs number, number, both both sexes, sexes, rankedMetabolic ranked by number by number of DALYs,same of DALYs, 1990-2016 or increase 1990-2016 decrease Behavioural Environmental/occupational Metabolic same or increase decrease Risk factors 1990 Risk factors 2016 Risk factors 1990 Risk factors 2016 Malnutrition*Malnutrition* [32.2%] [38.0%]1 1 1 Malnutrition* [14.8%] 1 Malnutrition* [18.2%] WaSH†WaSH [15.2%]† [16.2%]2 2 2 Air pollution [5.1%] 2 Air pollution [11.1%] Air Airpollution pollution [7.7%] [12.2%]3 3 3 High blood pressure [5.0%]3 Tobacco use [6.2%] Tobacco use [3.6%] 4 4 Tobacco use [4.9%] Tobacco use [4.1%] 4 4 WaSH† [6.1%] Dietary risks [2.3%] 5 5 Dietary risks [4.7%] High blood pressureDietary [2.2%] risks [2.8%]6 5 6 High fasting plasma glucose5 [4.0%]Dietary risks [5.7%] OccupationalHigh blood risks pressure [1.9%] [2.1%]7 6 7 WaSH† [3.9%] 6 High blood pressure [5.1%] AlcoholOccupational & drug use [1.6%] risks [1.8%]8 7 8 Alcohol & drug use [3.9%]7 High fasting plasma glucose [4.1%] High fasting plasma glucose [1.4%] 9 9 Occupational risks [2.6%] Impaired Alcoholkidney function & drug [0.9%] use [1.5%]10 8 10 Impaired kidney function8 [2.0%]Alcohol & drug use [3.3%] High fasting plasma glucose [1.4%] 9 9 Occupational risks [2.9%] The percent figure in bracket next to each risk is DALYs from that risk out of total DALYs. *Malnutrition is child and maternal malnutrition. High total cholesterol [0.9%] 10 †WaSH is unsafe water, sanitation,10 High and body-mass handwashing. index [2.5%] High body-mass index [0.7%] 12 11 High total cholesterol [2.4%] The percent figure in bracket next to each risk is DALYs from that risk out of total DALYs. *Malnutrition is child and maternal malnutrition. †WaSH is unsafe water, sanitation, and handwashing. How did the risk factors differ by se in 2016? Percent of total DALYs attributable to top 10 risks, ranked by percent for both sexes combined, 2016 Females ales Malnutrition* Air pollution Tobacco use WaSH† Dietary risks High blood pressure High fasting plasma glucose Alcohol & drug use Occupational risks High body-mass index 20 15 10 5 0 0 5 10 15 20 Percent of years of life lost and years lied ith disability Percent of years of life lost and years lied ith disability ehaioural nironmentaloccupational etabolic *Malnutrition is child and maternal malnutrition. †WaSH is unsafe water, sanitation, and handwashing. 4 Uttar Pradesh.
Recommended publications
  • District Census Handbook, 33-Banda, Uttar
    CENSUS 1961 DISTRICT CENSUS HANDBOOK UTTAR PRADESH 33-BANDA DISTRICT LUCKNOW: Superintendent, Printing and Stationery, U. P. (India) 1965 [Price Rs. 10.00 Preface: • Introduction I-CENSUS TABLES A-GENERAL POPULATION TABLES A-I Area, Houses and Population Appendix II-Number of Villages with a Population of 5,000 and over and Towns with Ii 6 Population unuer 5,000 6 Appendix Ill-Houseless and Institutional Population 6 A--II Variation in Population during Sixty Years 7 Appendix 1951 Population according to the territorial jurisdiction in 1951 and cbanges in area and population invalved in those changes 7 A-III Villages Classified by Population a A-IV Towns (and Town-groups) classified by Population in 1961 with Variation since 1941 9 Appendix New Towns added in 1961 and Towns in 1951 declassified in 1961 10 Explanatory Note to the Appendix 10 B-GENERAL ECONOMIC TABLES B-1 & II Workers and Non-workers in District and Towns classified by Sex and Broad Age-groups 12 B-III Part A-Industrial Classification of Workers and Non-workers by Educational Levels in Urban Areas only 18 Part B-Industrial Classification of Workers and Non-workers by Educational Levels in Rural Areas only 20 B-IV Part A-Industrial Classification by Sex and Class of Worker of Peraona at Work at Household Industry Part B-Industrial Classification by Sex and Class of Worker of Persons at Work in Non-household Industry, Trade, Business, Profession or Service 28 Part C-Industrial Classification by Sex and Divisions, Major Groups and Minor Groups of Persons at Work other than Cultivation 35 Occupational Claasification by Sex of Persons at Work other than Cultivation.
    [Show full text]
  • District Population Statistics, 45-Kheri, Uttar Pradesh
    Census' of India, 1951 ·DISTRICT POPULATION STATISTICS UTTAR PRADESH 45-KHERI DISTRlCT· • 1 I 315.42 1111 KHEDPS . OFFICE OF THE REGISTRAR . GENERAL, INDIA, NEW DELHI . 82011 ( LIBRARY) Class No._ 315.42 Book No._ 1951 KHE DPS 21246 Accession 1\10. ________ >ULED CASTES IN UTTAR PRADESH _h.e Constitution (Scheduled Castes) Order, 1950] ~~~~-------------------------------- (1) Throughout the State- <H Agariya (22) Bhuyi6l' (43) Kanjar (2) Badi . (23) Boria . (44) Kap6l'iya (3) Badhik (24) Chamar (45) Karwal (4) Baheliya (25) Chero (46) Khaira.hA (5) B&iaa (26) Dabgar t47) Kharot. (b) Baisw6l' (27) Dhangar (48) KJia.rw6l' (excluding Benbl\llSj) (7) Bajaniya (28) Dhanuk (49) Kol (8) Bajgi (29) Dbarkar (50) Korwa (9) Balahar (30) DhQbi (51) Lalbegi /(I0) Ba,lmiki (31) Dhusia OJ' Jhusia _ (52) Majhw6l' (II) Bangali (32) Dom j53) Nat ~ (12) Banmanus (33) DOmar (54) Panltha (13) Bansphor (34) Dusadh ;I (55) Par~ya (l~) Barwar (3"5). GhMami (56) P~i . (15) Basor (36) Ghasiya (57) Patari (16) Bawariya (37) Gual (58) Rawat (17) Beldar (38) Habura. (59) Saharya (lS) Seriya. (39) Hilori (60, Salia.urhiyllo (19) Bha.n.tu (40}'He~ (61) StmBiya . (20) Bhoksa (41) .Jatava (621 Shilpkar (21) Bhuiya (42) Kalaha7l (63) Turaiha (2) In B'Undelkhand Division and the portion 0/ Mi~,ap'U;',District,'~(Juth of Kaimu,. > Rang.e- . -, .'- Gond FOREWORD THE Uttar Pradesh Government asked me in March, 1952, to supply them for the purposes of elections to local bodies population statistics with separation for scheduled castes (i) mohallaJward-wise for urban areas, and (ii) village-wise for rural areas.
    [Show full text]
  • Solid Waste Management and Characteristics in Lucknow, Uttar Pradesh, India
    International Journal of Scientific & Engineering Research, Volume 4, Issue 11, November-2013 1645 ISSN 2229-5518 Solid Waste Management and Characteristics in Lucknow, Uttar Pradesh, India Rahul Charles Francis, L.P.Singh, Earnest Vinay Prakash Department of Mechanical Engineering, Sam Higginbottom Institute of Agriculture Technology and Sciences (Deemed University), Naini, Allahabad 211007,Uttar Pradesh, India Abstract Increasing population levels, rapid economic growth and rise in community living standard accelerates the generation rate of muni-cipal solid waste (MSW) in Indian cities. Improper management of SW (Solid Waste) causes hazards to inhabitants. The objectives of the study areto determine the quantitative and qualitative characteristics of SW along with basic information and to create GIS maps for Lucknow city. The samples have been randomly collected from various locations and analyzed to determine the characteristics of SW. A ques-tionnaire survey has been carried out to collect data from inhabitants including SW quantity, collection frequency, satisfaction level,etc. The Geographic Information System (GIS) has been used to analyze existing maps and data, to digitize the existing sanitary ward boundaries and to enter the data about the wards and disposal sites. The total quantity of MSW has been reported as 800 ton/day, and the average generation rate of MSW has been estimated at 0.65 kg/capita/day. The generated Arc GIS maps give efficient information concerning static and dynamic parameters of the municipal solid waste management (MSWM) problem such as the generation rate of MSW in different wards, collection point locations, MSW transport means and their routes, and the number of disposal sites and their attributes.
    [Show full text]
  • District Fact Sheet Bara Banki Uttar Pradesh
    Ministry of Health and Family Welfare National Family Health Survey - 4 2015 -16 District Fact Sheet Bara Banki Uttar Pradesh International Institute for Population Sciences (Deemed University) Mumbai 1 Introduction The National Family Health Survey 2015-16 (NFHS-4), the fourth in the NFHS series, provides information on population, health and nutrition for India and each State / Union territory. NFHS-4, for the first time, provides district-level estimates for many important indicators. The contents of previous rounds of NFHS are generally retained and additional components are added from one round to another. In this round, information on malaria prevention, migration in the context of HIV, abortion, violence during pregnancy etc. have been added. The scope of clinical, anthropometric, and biochemical testing (CAB) or Biomarker component has been expanded to include measurement of blood pressure and blood glucose levels. NFHS-4 sample has been designed to provide district and higher level estimates of various indicators covered in the survey. However, estimates of indicators of sexual behaviour, husband’s background and woman’s work, HIV/AIDS knowledge, attitudes and behaviour, and, domestic violence will be available at State and national level only. As in the earlier rounds, the Ministry of Health and Family Welfare, Government of India designated International Institute for Population Sciences, Mumbai as the nodal agency to conduct NFHS-4. The main objective of each successive round of the NFHS has been to provide essential data on health and family welfare and emerging issues in this area. NFHS-4 data will be useful in setting benchmarks and examining the progress in health sector the country has made over time.
    [Show full text]
  • District Population Statistics, 22 Allahabad, Uttar Pradesh
    .------·1 Census of India, 1951 I DISTRICT POPULATION STATISTICS UTTAR PRADESH 22-ALLAHABAD DISTRICT t I 315.42 ALLAHABAD: PluNnNG AND STATIONERY, UTTAR PRADESH, INDIA 1951 1953 ALL CPS Price, Re.1-S. FOREWORD THE Uttar Pradesh Government asked me in March, 1952, to supply them for the purposes of elections to local bodies population statistics with separation for scheduled castes (i) mohalla/ward -wise for urban areas, and (ii) village-wise for rural areas. The Census Tabulation Plan did not provide for sorting of scheduled castes population for areas smaller than a tehsil or urban tract and the request from the Uttar Pradesh Government came when the slip sorting had been finished and the Tabulation Offices closed. As the census slips are mixed up for the purposes of sorting in one lot for a tehsil or urban tract, collection of data regarding scheduled castes population by mohallas/wards and villages would have involved enormous labour and expense if sorting of the slips had been taken up afresh. Fortunately, however, a secondary census record, viz. the National Citizens' Register, in which each slip has been copied, was available. By singular foresight it had been pre­ pared mohalla/ward-wise for urban areas and village-wise for rural areas. The required information has, therefore, been extracted from this record. 2. In the above circumstances there is a slight difference in the figures of population as arrived at by an earlier sorting of the slips and as now determined by counting from the National Citizens' Register. This difference has been accen tuated by an order passed by me during the later count.
    [Show full text]
  • Ground Water Scenario of Lakhimpur Kheri District, Up
    GROUND WATER SCENARIO OF LAKHIMPUR KHERI DISTRICT, U.P. (A.A.P.: 2012-2013) By Dr. D.S. Pandey Scientist 'D' CONTENTS Chapter Title Page No. DISTRICT AT A GLANCE ..................2 I. INTRODUCTION ..................5 II. CLIMATE & RAINFALL ..................5 III. GEOMORPHOLOGY & SOIL TYPES ..................6 IV. GROUND WATER SCENARIO ..................6 V. GROUND WATER MANAGEMENT STRATEGY ..................8 VI. GROUND WATER RELATED ISSUE AND PROBLEMS ..................9 VII. MASS AWARENESS PROGRAMME ..................9 PLATES: I. INDEX MAP OF LAKHIMPUR KHERI DISTRICT, U.P. II. PRE-MONSOON DEPTH TO WATER LEVEL MAP (MAY, 2012) OF LAKHIMPUR KHERI DISTRICT, U.P. III. POST-MONSOON DEPTH TO WATER LEVEL MAP (NOV. 2012) OF LAKHIMPUR KHERI DISTRICT, U.P. IV. DYNAMIC GROUND WATER RESOURCES OF LAKHIMPUR KHERI DISTRICT, U.P. V. GROUND WATER USER MAP, LAKHIMPUR KHERI DISTRICT, U.P. VI. ARSENIC AFFECTED AREA OF LAKHIMPUR KHERI DISTRICT, U.P. VII. Exploratory Tubewells (C.G.W.B.) For Arsenic Studies DISTRICT AT GLANCE 1. GENERAL INFORMATION i. Geographical Area (Sq. Km.) : 7680.00 ii. Administrative Divisions (as on 31.3.2005) Number of Blocks : 6/15 Number of Panchayat Villages : 1829 iii. Population (as on 2001 census) : 32,07,234 iv. Average Annual Rainfall (mm) : 1093.50 mm 2. GEOMORPHOLOGY Major Physiographic Units : Older & Younger Alluvium Major Drainages : Gomati & Ghaghra 3. LAND USE (Sq. Km.) a) Forest area (Sq. Km.) : 2321.54 b) Net area sown (Sq. Km.) : 4863.82 c) Cultivable area (Sq. Km.) : 4863.82 4. MAJOR SOIL TYPES : Sandy Loam 5. AREA UNDER PRINCIPAL CROPS (as on 2004-05) : 6984.20 6. IRRIGATION BY DIFFERENT SOURCES (Areas and Number of Structures) (Sq.Km.) Dugwells : 168 Tubewells / Borewells : 713 state tubewells & 108430 Private tubewells Canals : 641 Km.
    [Show full text]
  • Quarantine Centres in Uttar Pradesh
    Quarantine Centres in Uttar Pradesh Contact Name of Room Contact Person(Go Hotel/ Rate(including Person vt. Sl. Quarantin meals and (Hotel/Ce Contact official in No. District Type: e Centre: Email Phone taxes) ntre) Number Charge) Contact no. Remarks 1 GAUTAM On YMCA 8287773820 Category 1:0 YMCA 8287773820 Central AC are BUDDHA Payment Centralize Category 2:0 Centralize not permitted NAGAR d) Category d) 3:Single: 1500/- Double: 2000/- 2 GHAZIABAD On Yes Guest Category Yes Guest 0 P N Dixit 8858784527 Contact details Payment House 1:2000 House not available 3 GHAZIABAD On World Category World 0 P N Dixit 8858784527 Contact details Payment Square 1:3000 Square not available Hotel Hotel 4 LUCKNOW On VGS Category 1:0 VGS 0 Payment Category 2:0 Category 3:Single: 999.00 Double: 1400.00 5 GHAZIABAD On Vatsal Category Vatsal 0 P N Dixit 8858784527 Contact details Payment Hotel 1:1000 Hotel not available 6 GHAZIABAD On Vaishnav Category Vaishnav 0 P N Dixit 8858784527 Contact details Payment Hotel 1:3000 Hotel not available 7 LUCKNOW On Tusharth Category 1:0 Tusharth 0 Payment Inn Inn 7 LUCKNOW On Tusharth Tusharth 0 Payment Inn Category 2:0 Inn Category 3:Single: 999.00 Double: 1400.00 8 GAUTAM On Treebo 9810532571 Category 1:0 Treebo 9810532571 BUDDHA Payment Swag18 Category 2:0 Swag18 NAGAR window Category window &amp; 3:Single: &amp; split) 1500/- split) Double: 2000/- 9 GHAZIABAD On The Category The 0 P N Dixit 8858784527 Contact details Payment Grand 1:2000 Grand not available Place Place 10 LUCKNOW On The Category 1:0 The 0 Payment Golden
    [Show full text]
  • 43574-025: Hussainganj-Hathgaon
    Resettlement Plan July 2015 IND: Uttar Pradesh Major District Roads Improvement Project Hussainganj - Hathgaon- Auraiya - Alipurjeeta Road Prepared by Uttar Pradesh Public Works Department, Government of India for the Asian Development Bank This is a revised version of the draft originally posted in August 2015 available on http://www.adb.org/projects/43574-025/main. CURRENCY EQUIVALENTS (as of 19 March 2015) Current unit - Indian rupee (Rs.) Rs 1.00 = $0.0181438810 $1.00 = Rs.62.41 ABBREVIATIONS ADB – Asian Development Bank AE – Assistant Engineer ASF -- Assistant Safeguards Focal AP - Affected Persons BPL – below poverty line BSR – Basic Schedule of Rates CPR – common property resources CSC – construction supervision consultant DC – district collector DP - Displaced Person DPR – detailed project report EA – executing agency EE – executive engineer FGD – focus group discussion GOI – Government of India GRC – Grievance Redress Committee IA – implementing agency IP – indigenous peoples IR – involuntary resettlement LAA – Land Acquisition Act LAP – land acquisition plan NGO – nongovernment organization RFCT in – Right to Fair Compensation and Transparency in Land Acquisition, LARR Rehabilitation and Resettlement Act (RFCT in LARR), 2013 RFCT in – Right to Fair Compensation and Transparency in Land Acquisition, LARR Rehabilitation and Resettlement (Amendment) Ordinance. 2014 OBC – other backward castes RP – Resettlement Plan PD – Project Director PAP – Project Affected Person PAF – Project Affected Family PDF – Project Displaced Family PDP – Project Displaced Person PIU – project implementation unit R&R – resettlement and rehabilitation RF – resettlement framework RO – resettlement officer ROW – right-of-way RP – resettlement plan SC – scheduled caste SPS – ADB Safeguard Policy Statement, 2009 ST – scheduled tribe TOR – Terms of Reference UPPWD – Uttar Pradesh Public Works Department VLC – Village Level Committee This resettlement plan is a document of the borrower.
    [Show full text]
  • District Barabanki
    CONTENTS List of Tables ii-iii Map of Barabanki District iv Executive Summary v -ix CHAPTER I BACKGROUND OF THE STUDY 1 CHAPTER II SOCIO-ECONOMIC STATUS OF 4 DISTRICT BARABANKI CHAPTER III SOCIO-ECONOMIC STATUS OF SAMPLE 18 VILLAGES IN DISTRICT BARABANKI CHAPTER IV SOCIO-ECONOMIC STATUS OF RURAL 32 HOUSEHOLDS IN DISTRICT BARABANKI CHAPTER V IDENTIFICATION OF PROBLEM AREAS 80 Annexure I 82 ii LIST OF TABLES Table No. Des cription Page No. 2.1 Population Growth in Barabanki 5 2.2 Percentage of Population by Religion, Literacy and Work Participation Rate, 2001 6 2.3 Registered Factories, Small Scale Industrial Units and Khadi Rural Industrial Units in Barabanki 7 2.4 Registration and Employment through Employment Exchange in District Barabanki 8 2.5 Land Use Pattern in District Barabanki and Uttar Pradesh, 2003-04 9 2.6 Land Holdings and Cultivated Land: 1997-98 10 2.7 Irrigated Area by Source 10 2.8 Cropping Pattern in Barabanki District and Uttar Pradesh 11 2.9 Productivity of Major Crops in District Barabanki and Uttar Pradesh, 2002-03 12 2.10 Livestock in District Barabanki and Uttar Pradesh, 2003 12 2.11 Industrial Development in Barabanki and Uttar Pradesh: 2003-04 13 2.12 Infrastructure Indicators in District Barabanki and Uttar Pradesh, 2003-04 13 2.13 Growth Rates of Total and Per Capita Net Domestic Product (NDP) in Barabanki and Uttar 14 Pradesh During 1993-94 to 2004-05 2.14 Rural Infrastructure in Barabanki and Uttar Pradesh: 2005-06 15 2.15 Educational Infrastructure in Barabanki and Uttar Pradesh: 2005-06 16 2.16 Health Infrastructure
    [Show full text]
  • District Census Handbook, Auraiya, Part-XII-A & B, Series-10, Uttar
    CENSUS OF INDIA 2001 ~3ERIES-10 UTTAR PRADeSH DISTRICT CENSUS HANDBOOK Part - A & B AURAIYA VILLAGE & TOWN DIRECTORY VILLAGE AND TOWNWISE PRIMARY CENSUS ABSTRACT {_ -~. I ( ! ) I F·~ ~ ~ _~. ~: ~ i I'i (\I'i!. (11(11 NIIII Dlr~ECTORATE OF Cf-':l\ISUS OPERATIONS, UTTAR PF~!\DESH LUCKNOW UTTAR PRADESH DISTRICT AURAIY A KILOMETRES , ,. 5 5 10 15 20 25 N A Area(sq.km.) . 2,015 (:::, Pepu) a tion .. ... 1,1'79,993 Number of Tahsils .. Number of Vikas Khand. ... ~ I· Number of Towns. Q; Number of Villages .. ·•• sj A L A DISTRICT AURAIYA-i S - PART OF VIKAS KHAND SAHAR (NEWL Y CREATED) CHANGE IN JURISDICTION 1991 - 2001 KILOMET~ :'".~~ '.~ . BOUNDARY DISTRICT -----: ! TAHSIL VIKAS KHAND .~ HEADQUARTERS DISTRICT, TAHSIL VIKAS KHAND @ @ NATJONAL HIGHWAY NH 2 STATE HIGHWAY SH 21 IMPORTANT METALLED ROAD RAILWAY LINE BROAD GAUGE. RIVER AND STREAM VILLAGE HAVING 5000 AND ABOVE POPULATJON WITH NAME • Kasba Khanpur TOWNS WITH POPULATION SIZE AND CLASS II JIl , IV , V ~.~.-.~" . DEGREE COLLEGE ~ AREA GAINED- FROM ~ DISTRICT ETAWAH MOTIF JAMUNAPARI GOATS The main centre of availability of Jamunapari Goats is considered in the surroundings of the village Pachnada in the district Auraiya at the banks of the rivers Yamuna, Chambal, Kunwari, Rind and Pahunj. Though these goats are extended from Chakarnagar to the either of the banks of river Yamuna, their height is much more than other goats with the backbone lying downwards likewise came and having two long ears in addition to two amazing short ears below their necks. There is a variety of species which are bit different from each other, but among them ~Alwari goats' are the best one, which give about 3 to4 kg.
    [Show full text]
  • State: UTTAR PRADESH Agriculture Contingency Plan for District
    State: UTTAR PRADESH Agriculture Contingency Plan for District: MATHURA 1.0 District Agriculture profile 1.1 Agro-Climatic/ Ecological Zone Agro-Ecological Sub Region(ICAR) Western Plain Zone, Agro-Climatic Zone (Planning Commission) Upper Gangetic Plain Region Agro-Climatic Zone (NARP) UP-3 South-western Semi-arid Zone List all the districts falling the NARP Zone* (^ 50% area falling Firozabad, Aligrah, Hathras, Mathura, Mainpuri, Etah in the zone) Geographical coordinates of district headquarters Latitude Longitude Altitude (mt) 27.30 N 77.40 E Name and address of the concerned - ZRS/ZARS/RARS/RRS/RRTTS Mention the KVK located in the district with address Krishi Vigyan Kendra, Dairy Farm, Veterinary College, Mathura Name and address of the nearest Agromet Field C.S. Azad University of Agriculture & Technology Kanpur Unit(AMFU,IMD)for agro advisories in the Zone 1.2 Rainfall Normal RF Normal Rainy Normal Onset Normal Cessation (mm) Days (Number) (Specify week and month) (Specify week and month) SW monsoon (June-sep) 518.7 45 3rdweek of June 4thd week of September Post monsoon (Oct-Dec) 25.3 10 Winter (Jan-March) 33.7 10 - - Pre monsoon (Apr-May) 13.7 2 - - Annual 591.4 67 - - 1.3 Land use pattern Geographical Cultivable Forest Land under Permanent Cultivable Land Barren and Current Other of the district area (ha) area area non- pastures wasteland under uncultivable fallows fallows (Latest (ha) (ha) agricultural (ha) Misc.tree land (Ha) (ha) statistics) use (ha) crops and groves Area in (000’ 330.3 284.5 1.6 39.6 1.3 4.9 0.9 3.2 5.5 4.0 ha) 1.4 Major Soils Area(‘000 ha) Percent(%) of total Deep Fine soil 82.6 25% Deep fine moderate with loamy soil 66.1 20% Deep loamy soil 59.5 18% Other(Eroded) 122.2 37% 1.5 Agricultural land use Area(‘000 ha) Cropping intensity (%) Net sown area 269.3 140 % Area sown more than once 129.1 Gross cropped area 398.4 1.6 Irrigation Area(‘000 ha) Net irrigation area 269.165 Gross irrigated area 329.709 Rain fed area 0.164 Sources of irrigation(Gross Irr.
    [Show full text]
  • Auraiya Uttar Pradesh |
    DISTRICTDISTRICT NUTRITION NUTRITION PROFILE PROFILE Ag Auraiya|Uttar Pradesh DISTRICT DEMOGRAPHIC PROFILE1 5 Total Population 14,00,000 6 M1 Census 2011 Male Female 753.6%Fe0 Census 2011 46.4% 8 U # Census 2011 9UrbanRu1 Census 2011 Rural #17.0%SC0 Census 2011 83.0% # ST0 Census 2011 SC# O 1 Census 2011 ST Others Auraiya ranks 404 amongst 599 28.4% # In #0 0.0% 71.6% districts in India² THE STATE OF NUTRITION IN AURAIYA UNDERNUTRITION3 100 Auraiya Uttar Pradesh 80.1 75UtAuraiya 67.4 # St ##NFHS4 46.4 50 43.6 %# W##NFHS4 26.5 # U ##NFHS4 22.8 25 # An##NFHS4 NO DISTRICT LEVEL DATA # Lo0##RSOC # An##NFHS4Stunting Wasting Underweight Anemia Low birth weight Anemia among Women with body (among children <5 (among children <5 (among children <5 (among children <5 (<2500 g) women of mass index <18.5 # W##NFHS4years) years) years) years) reproductive age kg/m2 # BMPOSSIBLE##NFHS4 POINTS OF DISCUSSION (WRA) # BM##NFHS4 How does the district perform on stunting, wasting, underweight and anemia among children under the age of 5? # H 85WhatNFHS4 are the levels of anemia prevalence and low body mass index among women? # H #7WhatNFHS4 are the levels of overweight/obesity and other nutrition-related non-communicable diseases in the district? # H 53NFHS4 OVERWEIGHT/OBESITY & NON-COMMUNICABLE DISEASES (15-49 y)4 # 100H 71NFHS4 75 % 50 25 11.8 10.2 6.7 4.7 2.5 1.3 0 BMI >25 kg/m2 BMI >25 kg/m2 High blood pressure High blood pressure High blood sugar High blood sugar among women among men among women among men among women among men (15-49 years) (15-49
    [Show full text]