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Social Assistance Grants for Empowerment Programme 2014, Endline: Impact After Two Years of Programme Operations

Uganda, 2014
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Reference ID
UGA_2014_SAGE-EL_v01_M
Producer(s)
Oxford Policy Mangement Ltd.
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 21, 2016
Last modified
Jul 25, 2016
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Parish (parish)

Data file: int_access_health_hh

Overview

Valid: 3828
Invalid: 0
Type: Discrete
Start: 112
End: 128
Width: 17
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AAKUM 20
0.5%
ABALANG 40
1%
ABANY 20
0.5%
ABAR EAST 39
1%
ABAR WEST 10
0.3%
ABEDI 27
0.7%
ABINDU WARD 9
0.2%
ABOKO 30
0.8%
ABONGO 21
0.5%
ABULI 20
0.5%
ABWOKODIA 10
0.3%
ABWONG 20
0.5%
ACABA 7
0.2%
ACEGERETOLIM 19
0.5%
ACENLWORO 20
0.5%
ACHERER 61
1.6%
ACHUNGI 10
0.3%
ADEM 8
0.2%
ADOLO 9
0.2%
ADYEDA 10
0.3%
AGANGA 20
0.5%
AGONG 11
0.3%
AJAR 19
0.5%
AKALI 19
0.5%
AKERE 22
0.6%
AKETO 19
0.5%
AKOKORO 17
0.4%
AKURAO 19
0.5%
AKUYAM 10
0.3%
ALARO 10
0.3%
ALIDO 11
0.3%
ALIRA 19
0.5%
ALWOROCENG 19
0.5%
AMII- AMILO 30
0.8%
AMII-ABERIDWOGO 11
0.3%
AMOR WARD 21
0.5%
AMOR WEST 9
0.2%
AMORIGOGA 20
0.5%
AMUN 11
0.3%
AMUSIA 9
0.2%
ANGODINGODI 9
0.2%
ANWANGI 21
0.5%
ANYARA 11
0.3%
AORNGA 15
0.4%
APARISIA 9
0.2%
APIRE 18
0.5%
APOI 10
0.3%
APUUTON 18
0.5%
ASURET 18
0.5%
ATANA 27
0.7%
ATIGOLWOK 7
0.2%
ATIK 30
0.8%
ATONGTIDI 39
1%
ATOPI 15
0.4%
ATULE 9
0.2%
ATYAK 27
0.7%
AWILA 20
0.5%
AYABI 10
0.3%
AYAGO 11
0.3%
AYEOLYEC 22
0.6%
BAMUSUUTA WARD 29
0.8%
BARAHIIJA 22
0.6%
BARODILO 11
0.3%
BORO 27
0.7%
BUCUNI WARD 7
0.2%
BUNG 10
0.3%
BURARRO 19
0.5%
BUSANZA 9
0.2%
BUTARA 20
0.5%
BUTIITI 8
0.2%
BUZIBWEERA WARD 19
0.5%
BWENZI 10
0.3%
CAMPSWAHILI JUU 8
0.2%
CAMPSWAHILLICHIN 10
0.3%
CENTRAL WARD 9
0.2%
CHEGERE 22
0.6%
CHELEUKO 10
0.3%
ENJERU 17
0.4%
ETEKOBER 8
0.2%
FOREST WARD 20
0.5%
GANDA 22
0.6%
HAKATOMA 9
0.2%
HIMA 19
0.5%
ILEE 8
0.2%
ISANDARA 9
0.2%
JUKIA WARD 10
0.3%
KABAALE 9
0.2%
KADINYA 6
0.2%
KAFUNDA PARISH 11
0.3%
KAGAA 29
0.8%
KAGOBE 10
0.3%
KAIHURA 10
0.3%
KAKERE 21
0.5%
KAKINDO 9
0.2%
KALAKI 11
0.3%
KALOKWAMERI 20
0.5%
KAMENU 29
0.8%
KAMUDA 21
0.5%
KANYALAM 19
0.5%
KAPUJAN 20
0.5%
KASABA 42
1.1%
KASEGA 20
0.5%
KASENYI 8
0.2%
KATAMBALE 44
1.1%
KATARA WARD 20
0.5%
KAYEERA 10
0.3%
KIBIRA 10
0.3%
KIBOGA TOWN WARD 10
0.3%
KIDILANI 19
0.5%
KIGOYERA 40
1%
KIGUNDU 18
0.5%
KIHUMIRO 8
0.2%
KIJUMA 8
0.2%
KIKODA 10
0.3%
KINOGERO PARISH 20
0.5%
KIRONGO WARD 20
0.5%
KIRULUMBA WARD 19
0.5%
KISOJO 11
0.3%
KITONGOLE 10
0.3%
KITONYA 9
0.2%
KIVUJE 8
0.2%
KOKORIO 20
0.5%
KORITOK 10
0.3%
KORYAMO 20
0.5%
KOTHIKE 10
0.3%
KUNGU 5
0.1%
KYABAGONZA 18
0.5%
KYABARANGA 17
0.4%
KYAKATWIRE 11
0.3%
KYAMITARA 10
0.3%
KYAMUGENYI 19
0.5%
KYAMUTASA 20
0.5%
KYANYABONGO WARD 20
0.5%
KYAYIMBA 9
0.2%
KYONGERA 10
0.3%
LOBODEGI 8
0.2%
LOBUNEIT 20
0.5%
LOKAALA 19
0.5%
LOPUTUK 14
0.4%
LOTIRIR 48
1.3%
MABAALE 20
0.5%
MAGORO 18
0.5%
MAJENGO 9
0.2%
MIRAMBI 28
0.7%
MITOMA 10
0.3%
MOGOTH 29
0.8%
MORUANGIBUIN 19
0.5%
MUKALE 30
0.8%
MUKUNYU 10
0.3%
MWARO WARD 9
0.2%
MYERI PARISH 20
0.5%
NABOLITH 21
0.5%
NADUNGET 41
1.1%
NAITAKWAE 51
1.3%
NAKADELI 29
0.8%
NAKOBEKOBE 19
0.5%
NAMRWODO WARD 10
0.3%
NAMTHIN WARD 10
0.3%
NATOPOJO 8
0.2%
NEBBI HILL WARD 10
0.3%
NSINDE 20
0.5%
NTOMA 20
0.5%
NYACARA WARD 20
0.5%
NYAIBANDA 7
0.2%
NYAKAGEI 52
1.4%
NYAKISI PARISH 19
0.5%
NYAMABUGA 18
0.5%
OGWIL 9
0.2%
OGWOLO 27
0.7%
OLAGO 58
1.5%
OLOLANGO 12
0.3%
OLYEJO 10
0.3%
OMID 9
0.2%
OMINYA 19
0.5%
OMWIBALE 21
0.5%
ONGEMA 9
0.2%
ONGICIA 8
0.2%
ONGOCENG 10
0.3%
OPETA 18
0.5%
ORIMAI 17
0.4%
OWEKO 18
0.5%
OWINY 19
0.5%
PACEGO 30
0.8%
PACHAKA 34
0.9%
PADOLO 56
1.5%
PAJUR 31
0.8%
PAKIA 16
0.4%
PALATAU 28
0.7%
PAMINYA LOWER 7
0.2%
PAMINYA UPPER 8
0.2%
PAMITU 11
0.3%
PAMORA UPPER 10
0.3%
PAROKETO 18
0.5%
PAYERA 16
0.4%
POKWERO 19
0.5%
PUNUATAR 11
0.3%
PUPU 20
0.5%
PUVUNGU CENTRAL 10
0.3%
PUVUNGU WEST 17
0.4%
RAMOGI 46
1.2%
RUBANGO 20
0.5%
RUHOKO 10
0.3%
RUPA 19
0.5%
RWAITENGYA 11
0.3%
RWAMUKOORA 22
0.6%
SWAGERE 39
1%
TAROGALI 25
0.7%
TEBOKE 11
0.3%
TEI-ORO 10
0.3%
THATHA WARD 20
0.5%
TOKORA 14
0.4%
TOROMA 9
0.2%
USUK 20
0.5%
VURR 38
1%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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