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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_educ18plus

Overview

Valid: 9413
Invalid: 0
Type: Discrete
Start: 451
End: 467
Width: 17
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AAKUM 67
0.7%
ABALANG 123
1.3%
ABANY 58
0.6%
ABAR EAST 92
1%
ABAR WEST 21
0.2%
ABEDI 56
0.6%
ABINDU WARD 29
0.3%
ABOKO 61
0.6%
ABONGO 46
0.5%
ABULI 30
0.3%
ABWOKODIA 23
0.2%
ABWONG 69
0.7%
ACABA 15
0.2%
ACEGERETOLIM 55
0.6%
ACENLWORO 41
0.4%
ACHERER 157
1.7%
ACHUNGI 29
0.3%
ADEM 21
0.2%
ADOLO 20
0.2%
ADYEDA 18
0.2%
AGANGA 41
0.4%
AGONG 24
0.3%
AJAR 37
0.4%
AKALI 48
0.5%
AKERE 42
0.4%
AKETO 39
0.4%
AKOKORO 48
0.5%
AKURAO 73
0.8%
AKUYAM 20
0.2%
ALARO 28
0.3%
ALIDO 21
0.2%
ALIRA 44
0.5%
ALWOROCENG 33
0.4%
AMII- AMILO 62
0.7%
AMII-ABERIDWOGO 17
0.2%
AMOR WARD 52
0.6%
AMOR WEST 16
0.2%
AMORIGOGA 57
0.6%
AMUN 32
0.3%
AMUSIA 23
0.2%
ANGODINGODI 24
0.3%
ANWANGI 45
0.5%
ANYARA 20
0.2%
AORNGA 32
0.3%
APARISIA 17
0.2%
APIRE 50
0.5%
APOI 34
0.4%
APUUTON 65
0.7%
ASURET 45
0.5%
ATANA 61
0.6%
ATIGOLWOK 11
0.1%
ATIK 68
0.7%
ATONGTIDI 91
1%
ATOPI 32
0.3%
ATULE 27
0.3%
ATYAK 53
0.6%
AWILA 49
0.5%
AYABI 22
0.2%
AYAGO 29
0.3%
AYEOLYEC 58
0.6%
BAMUSUUTA WARD 61
0.6%
BARAHIIJA 44
0.5%
BARODILO 22
0.2%
BORO 58
0.6%
BUCUNI WARD 15
0.2%
BUNG 18
0.2%
BURARRO 47
0.5%
BUSANZA 15
0.2%
BUTARA 54
0.6%
BUTIITI 17
0.2%
BUZIBWEERA WARD 42
0.4%
BWENZI 38
0.4%
CAMPSWAHILI JUU 21
0.2%
CAMPSWAHILLICHIN 22
0.2%
CENTRAL WARD 26
0.3%
CHEGERE 50
0.5%
CHELEUKO 25
0.3%
ENJERU 39
0.4%
ETEKOBER 12
0.1%
FOREST WARD 69
0.7%
GANDA 50
0.5%
HAKATOMA 23
0.2%
HIMA 59
0.6%
ILEE 17
0.2%
ISANDARA 25
0.3%
JUKIA WARD 29
0.3%
KABAALE 27
0.3%
KADINYA 16
0.2%
KAFUNDA PARISH 24
0.3%
KAGAA 88
0.9%
KAGOBE 24
0.3%
KAIHURA 28
0.3%
KAKERE 58
0.6%
KAKINDO 21
0.2%
KALAKI 34
0.4%
KALOKWAMERI 48
0.5%
KAMENU 77
0.8%
KAMUDA 64
0.7%
KANYALAM 42
0.4%
KAPUJAN 91
1%
KASABA 90
1%
KASEGA 64
0.7%
KASENYI 19
0.2%
KATAMBALE 109
1.2%
KATARA WARD 46
0.5%
KAYEERA 38
0.4%
KIBIRA 23
0.2%
KIBOGA TOWN WARD 21
0.2%
KIDILANI 39
0.4%
KIGOYERA 85
0.9%
KIGUNDU 55
0.6%
KIHUMIRO 23
0.2%
KIJUMA 18
0.2%
KIKODA 21
0.2%
KINOGERO PARISH 47
0.5%
KIRONGO WARD 48
0.5%
KIRULUMBA WARD 50
0.5%
KISOJO 29
0.3%
KITONGOLE 26
0.3%
KITONYA 20
0.2%
KIVUJE 14
0.1%
KOKORIO 73
0.8%
KORITOK 30
0.3%
KORYAMO 54
0.6%
KOTHIKE 23
0.2%
KUNGU 11
0.1%
KYABAGONZA 60
0.6%
KYABARANGA 39
0.4%
KYAKATWIRE 31
0.3%
KYAMITARA 26
0.3%
KYAMUGENYI 34
0.4%
KYAMUTASA 52
0.6%
KYANYABONGO WARD 39
0.4%
KYAYIMBA 20
0.2%
KYONGERA 21
0.2%
LOBODEGI 16
0.2%
LOBUNEIT 57
0.6%
LOKAALA 50
0.5%
LOPUTUK 43
0.5%
LOTIRIR 121
1.3%
MABAALE 74
0.8%
MAGORO 61
0.6%
MAJENGO 23
0.2%
MIRAMBI 65
0.7%
MITOMA 24
0.3%
MOGOTH 84
0.9%
MORUANGIBUIN 42
0.4%
MUKALE 65
0.7%
MUKUNYU 28
0.3%
MWARO WARD 17
0.2%
MYERI PARISH 41
0.4%
NABOLITH 51
0.5%
NADUNGET 95
1%
NAITAKWAE 112
1.2%
NAKADELI 74
0.8%
NAKOBEKOBE 43
0.5%
NAMRWODO WARD 35
0.4%
NAMTHIN WARD 22
0.2%
NATOPOJO 17
0.2%
NEBBI HILL WARD 37
0.4%
NSINDE 42
0.4%
NTOMA 39
0.4%
NYACARA WARD 78
0.8%
NYAIBANDA 25
0.3%
NYAKAGEI 96
1%
NYAKISI PARISH 44
0.5%
NYAMABUGA 42
0.4%
OGWIL 16
0.2%
OGWOLO 61
0.6%
OLAGO 130
1.4%
OLOLANGO 18
0.2%
OLYEJO 21
0.2%
OMID 16
0.2%
OMINYA 64
0.7%
OMWIBALE 48
0.5%
ONGEMA 29
0.3%
ONGICIA 18
0.2%
ONGOCENG 16
0.2%
OPETA 45
0.5%
ORIMAI 37
0.4%
OWEKO 43
0.5%
OWINY 34
0.4%
PACEGO 78
0.8%
PACHAKA 75
0.8%
PADOLO 117
1.2%
PAJUR 78
0.8%
PAKIA 40
0.4%
PALATAU 66
0.7%
PAMINYA LOWER 15
0.2%
PAMINYA UPPER 13
0.1%
PAMITU 21
0.2%
PAMORA UPPER 26
0.3%
PAROKETO 37
0.4%
PAYERA 35
0.4%
POKWERO 43
0.5%
PUNUATAR 25
0.3%
PUPU 51
0.5%
PUVUNGU CENTRAL 20
0.2%
PUVUNGU WEST 50
0.5%
RAMOGI 99
1.1%
RUBANGO 42
0.4%
RUHOKO 25
0.3%
RUPA 39
0.4%
RWAITENGYA 35
0.4%
RWAMUKOORA 53
0.6%
SWAGERE 115
1.2%
TAROGALI 53
0.6%
TEBOKE 22
0.2%
TEI-ORO 30
0.3%
THATHA WARD 68
0.7%
TOKORA 37
0.4%
TOROMA 30
0.3%
USUK 66
0.7%
VURR 91
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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