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Social Assistance Grants for Empowerment Programme 2012, Evaluation Baseline Survey

Uganda, 2012
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Reference ID
UGA_2012_SAGE-BL_v01_M
Producer(s)
Oxford Policy Management Ltd.
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 21, 2016
Last modified
Jul 21, 2016
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Parish (parish)

Data file: int_access_educ18plus

Overview

Valid: 9212
Invalid: 0
Type: Discrete
Width: 17
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AAKUM 61
0.7%
ABALANG 120
1.3%
ABANY 52
0.6%
ABAR EAST 103
1.1%
ABAR WEST 19
0.2%
ABEDI 49
0.5%
ABINDU WARD 26
0.3%
ABOKO 60
0.7%
ABONGO 42
0.5%
ABULI 31
0.3%
ABWOKODIA 24
0.3%
ABWONG 65
0.7%
ACABA 20
0.2%
ACEGERETOLIM 51
0.6%
ACENLWORO 35
0.4%
ACHERER 153
1.7%
ACHUNGI 27
0.3%
ADEM 17
0.2%
ADOLO 20
0.2%
ADYEDA 23
0.2%
AGANGA 40
0.4%
AGONG 30
0.3%
AJAR 39
0.4%
AKALI 48
0.5%
AKERE 45
0.5%
AKETO 38
0.4%
AKOKORO 53
0.6%
AKURAO 81
0.9%
AKUYAM 24
0.3%
ALARO 26
0.3%
ALIDO 18
0.2%
ALIRA 37
0.4%
ALWOROCENG 31
0.3%
AMII- AMILO 61
0.7%
AMII-ABERIDWOGO 16
0.2%
AMOR WARD 46
0.5%
AMOR WEST 17
0.2%
AMORIGOGA 55
0.6%
AMUN 38
0.4%
AMUSIA 23
0.2%
ANGODINGODI 23
0.2%
ANWANGI 55
0.6%
ANYARA 20
0.2%
AORNGA 31
0.3%
APARISIA 19
0.2%
APIRE 43
0.5%
APOI 40
0.4%
APUUTON 69
0.7%
ASURET 46
0.5%
ATANA 46
0.5%
ATIGOLWOK 10
0.1%
ATIK 60
0.7%
ATONGTIDI 79
0.9%
ATOPI 43
0.5%
ATULE 24
0.3%
ATYAK 46
0.5%
AWILA 54
0.6%
AYABI 22
0.2%
AYAGO 28
0.3%
AYEOLYEC 51
0.6%
BAMUSUUTA WARD 58
0.6%
BARAHIIJA 44
0.5%
BARODILO 20
0.2%
BORO 49
0.5%
BUCUNI WARD 15
0.2%
BUNG 17
0.2%
BURARRO 53
0.6%
BUSANZA 20
0.2%
BUTARA 50
0.5%
BUTIITI 21
0.2%
BUZIBWEERA WARD 36
0.4%
BWENZI 32
0.3%
CAMPSWAHILI JUU 31
0.3%
CAMPSWAHILLICHIN 23
0.2%
CENTRAL WARD 28
0.3%
CHEGERE 46
0.5%
CHELEUKO 30
0.3%
ENJERU 33
0.4%
ETEKOBER 13
0.1%
FOREST WARD 72
0.8%
GANDA 44
0.5%
HAKATOMA 23
0.2%
HIMA 46
0.5%
ILEE 15
0.2%
ISANDARA 24
0.3%
JUKIA WARD 37
0.4%
KABAALE 27
0.3%
KADINYA 14
0.2%
KAFUNDA PARISH 19
0.2%
KAGAA 73
0.8%
KAGOBE 23
0.2%
KAIHURA 31
0.3%
KAKERE 66
0.7%
KAKINDO 25
0.3%
KALAKI 34
0.4%
KALOKWAMERI 49
0.5%
KAMENU 77
0.8%
KAMUDA 57
0.6%
KANYALAM 40
0.4%
KAPUJAN 88
1%
KASABA 83
0.9%
KASEGA 60
0.7%
KASENYI 26
0.3%
KATAMBALE 94
1%
KATARA WARD 34
0.4%
KAYEERA 37
0.4%
KIBIRA 22
0.2%
KIBOGA TOWN WARD 18
0.2%
KIDILANI 30
0.3%
KIGOYERA 82
0.9%
KIGUNDU 52
0.6%
KIHUMIRO 21
0.2%
KIJUMA 17
0.2%
KIKODA 22
0.2%
KINOGERO PARISH 41
0.4%
KIRONGO WARD 39
0.4%
KIRULUMBA WARD 46
0.5%
KISOJO 31
0.3%
KITONGOLE 23
0.2%
KITONYA 17
0.2%
KIVUJE 12
0.1%
KOKORIO 78
0.8%
KORITOK 25
0.3%
KORYAMO 65
0.7%
KOTHIKE 19
0.2%
KUNGU 19
0.2%
KYABAGONZA 47
0.5%
KYABARANGA 43
0.5%
KYAKATWIRE 30
0.3%
KYAMITARA 19
0.2%
KYAMUGENYI 35
0.4%
KYAMUTASA 46
0.5%
KYANYABONGO WARD 35
0.4%
KYAYIMBA 16
0.2%
KYONGERA 18
0.2%
LOBODEGI 22
0.2%
LOBUNEIT 61
0.7%
LOKAALA 50
0.5%
LOPUTUK 45
0.5%
LOTIRIR 143
1.6%
MABAALE 63
0.7%
MAGORO 70
0.8%
MAJENGO 14
0.2%
MIRAMBI 56
0.6%
MITOMA 25
0.3%
MOGOTH 83
0.9%
MORUANGIBUIN 46
0.5%
MUKALE 66
0.7%
MUKUNYU 28
0.3%
MWARO WARD 18
0.2%
MYERI PARISH 34
0.4%
NABOLITH 50
0.5%
NADUNGET 106
1.2%
NAITAKWAE 119
1.3%
NAKADELI 81
0.9%
NAKOBEKOBE 36
0.4%
NAMRWODO WARD 29
0.3%
NAMTHIN WARD 20
0.2%
NATOPOJO 27
0.3%
NEBBI HILL WARD 28
0.3%
NSINDE 38
0.4%
NTOMA 39
0.4%
NYACARA WARD 75
0.8%
NYAIBANDA 24
0.3%
NYAKAGEI 98
1.1%
NYAKISI PARISH 38
0.4%
NYAMABUGA 44
0.5%
OGWIL 14
0.2%
OGWOLO 62
0.7%
OLAGO 109
1.2%
OLOLANGO 18
0.2%
OLYEJO 18
0.2%
OMID 19
0.2%
OMINYA 65
0.7%
OMWIBALE 47
0.5%
ONGEMA 31
0.3%
ONGICIA 18
0.2%
ONGOCENG 17
0.2%
OPETA 52
0.6%
ORIMAI 41
0.4%
OWEKO 43
0.5%
OWINY 34
0.4%
PACEGO 82
0.9%
PACHAKA 74
0.8%
PADOLO 109
1.2%
PAJUR 66
0.7%
PAKIA 49
0.5%
PALATAU 79
0.9%
PAMINYA LOWER 15
0.2%
PAMINYA UPPER 16
0.2%
PAMITU 18
0.2%
PAMORA UPPER 21
0.2%
PAROKETO 35
0.4%
PAYERA 42
0.5%
POKWERO 41
0.4%
PUNUATAR 22
0.2%
PUPU 54
0.6%
PUVUNGU CENTRAL 19
0.2%
PUVUNGU WEST 38
0.4%
RAMOGI 103
1.1%
RUBANGO 38
0.4%
RUHOKO 24
0.3%
RUPA 43
0.5%
RWAITENGYA 30
0.3%
RWAMUKOORA 36
0.4%
SWAGERE 108
1.2%
TAROGALI 58
0.6%
TEBOKE 18
0.2%
TEI-ORO 32
0.3%
THATHA WARD 74
0.8%
TOKORA 59
0.6%
TOROMA 25
0.3%
USUK 67
0.7%
VURR 75
0.8%
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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