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Social Assistance Grants for Empowerment Programme 2013, Evaluation Follow-Up Survey

Uganda, 2013
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Reference ID
UGA_2013_SAGE-ML_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: 9328
Invalid: 0
Type: Discrete
Start: 258
End: 274
Width: 17
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AAKUM 65
0.7%
ABALANG 121
1.3%
ABANY 58
0.6%
ABAR EAST 95
1%
ABAR WEST 20
0.2%
ABEDI 50
0.5%
ABINDU WARD 25
0.3%
ABOKO 64
0.7%
ABONGO 43
0.5%
ABULI 35
0.4%
ABWOKODIA 23
0.2%
ABWONG 63
0.7%
ACABA 20
0.2%
ACEGERETOLIM 53
0.6%
ACENLWORO 37
0.4%
ACHERER 144
1.5%
ACHUNGI 28
0.3%
ADEM 21
0.2%
ADYEDA 21
0.2%
AGANGA 40
0.4%
AGONG 26
0.3%
AJAR 43
0.5%
AKALI 45
0.5%
AKERE 43
0.5%
AKETO 41
0.4%
AKOKORO 55
0.6%
AKURAO 77
0.8%
AKUYAM 23
0.2%
ALARO 25
0.3%
ALIDO 20
0.2%
ALIRA 39
0.4%
ALWOROCENG 31
0.3%
AMII- AMILO 61
0.7%
AMII-ABERIDWOGO 17
0.2%
AMOR WARD 55
0.6%
AMOR WEST 16
0.2%
AMORIGOGA 55
0.6%
AMUN 36
0.4%
AMUSIA 25
0.3%
ANGODINGODI 25
0.3%
ANWANGI 50
0.5%
ANYARA 20
0.2%
AORNGA 35
0.4%
APARISIA 19
0.2%
APIRE 52
0.6%
APOI 35
0.4%
APUUTON 59
0.6%
ASURET 47
0.5%
ATANA 54
0.6%
ATIGOLWOK 11
0.1%
ATIK 65
0.7%
ATONGTIDI 86
0.9%
ATOPI 34
0.4%
ATULE 25
0.3%
ATYAK 52
0.6%
AWILA 55
0.6%
AYABI 22
0.2%
AYAGO 25
0.3%
AYEOLYEC 59
0.6%
BAMUSUUTA WARD 59
0.6%
BARAHIIJA 41
0.4%
BARODILO 19
0.2%
BORO 51
0.5%
BUCUNI WARD 17
0.2%
BUNG 15
0.2%
BURARRO 61
0.7%
BUSANZA 17
0.2%
BUTARA 54
0.6%
BUTIITI 19
0.2%
BUZIBWEERA WARD 34
0.4%
BWENZI 36
0.4%
CAMPSWAHILI JUU 20
0.2%
CAMPSWAHILLICHIN 24
0.3%
CENTRAL WARD 27
0.3%
CHEGERE 49
0.5%
CHELEUKO 27
0.3%
ENJERU 34
0.4%
ETEKOBER 12
0.1%
FOREST WARD 73
0.8%
GANDA 45
0.5%
HAKATOMA 23
0.2%
HIMA 54
0.6%
ILEE 16
0.2%
ISANDARA 25
0.3%
JUKIA WARD 38
0.4%
KABAALE 24
0.3%
KADINYA 17
0.2%
KAFUNDA PARISH 22
0.2%
KAGAA 73
0.8%
KAGOBE 23
0.2%
KAIHURA 30
0.3%
KAKERE 59
0.6%
KAKINDO 24
0.3%
KALAKI 35
0.4%
KALOKWAMERI 47
0.5%
KAMENU 76
0.8%
KAMUDA 57
0.6%
KANYALAM 39
0.4%
KAPUJAN 84
0.9%
KASABA 87
0.9%
KASEGA 64
0.7%
KASENYI 23
0.2%
KATAMBALE 108
1.2%
KATARA WARD 38
0.4%
KAYEERA 41
0.4%
KIBIRA 21
0.2%
KIBOGA TOWN WARD 16
0.2%
KIDILANI 37
0.4%
KIGOYERA 83
0.9%
KIGUNDU 46
0.5%
KIHUMIRO 19
0.2%
KIJUMA 16
0.2%
KIKODA 27
0.3%
KINOGERO PARISH 46
0.5%
KIRONGO WARD 47
0.5%
KIRULUMBA WARD 56
0.6%
KISOJO 32
0.3%
KITONGOLE 29
0.3%
KITONYA 17
0.2%
KIVUJE 12
0.1%
KOKORIO 69
0.7%
KORITOK 26
0.3%
KORYAMO 60
0.6%
KOTHIKE 22
0.2%
KUNGU 18
0.2%
KYABAGONZA 61
0.7%
KYABARANGA 42
0.5%
KYAKATWIRE 30
0.3%
KYAMITARA 24
0.3%
KYAMUGENYI 36
0.4%
KYAMUTASA 52
0.6%
KYANYABONGO WARD 40
0.4%
KYAYIMBA 22
0.2%
KYONGERA 22
0.2%
LOBODEGI 16
0.2%
LOBUNEIT 45
0.5%
LOKAALA 48
0.5%
LOPUTUK 34
0.4%
LOTIRIR 125
1.3%
MABAALE 72
0.8%
MAGORO 71
0.8%
MAJENGO 25
0.3%
MIRAMBI 58
0.6%
MITOMA 24
0.3%
MOGOTH 80
0.9%
MORUANGIBUIN 46
0.5%
MUKALE 63
0.7%
MUKUNYU 30
0.3%
MWARO WARD 16
0.2%
MYERI PARISH 40
0.4%
NABOLITH 48
0.5%
NADUNGET 105
1.1%
NAITAKWAE 106
1.1%
NAKADELI 76
0.8%
NAKOBEKOBE 40
0.4%
NAMRWODO WARD 31
0.3%
NAMTHIN WARD 18
0.2%
NATOPOJO 20
0.2%
NEBBI HILL WARD 38
0.4%
NSINDE 39
0.4%
NTOMA 39
0.4%
NYACARA WARD 69
0.7%
NYAIBANDA 29
0.3%
NYAKAGEI 98
1.1%
NYAKISI PARISH 39
0.4%
NYAMABUGA 48
0.5%
OGWIL 19
0.2%
OGWOLO 61
0.7%
OLAGO 122
1.3%
OLOLANGO 17
0.2%
OLYEJO 17
0.2%
OMID 20
0.2%
OMINYA 75
0.8%
OMWIBALE 51
0.5%
ONGEMA 31
0.3%
ONGICIA 18
0.2%
ONGOCENG 15
0.2%
OPETA 49
0.5%
ORIMAI 47
0.5%
OWEKO 39
0.4%
OWINY 32
0.3%
PACEGO 80
0.9%
PACHAKA 78
0.8%
PADOLO 120
1.3%
PAJUR 68
0.7%
PAKIA 48
0.5%
PALATAU 71
0.8%
PAMINYA LOWER 15
0.2%
PAMINYA UPPER 14
0.2%
PAMITU 21
0.2%
PAMORA UPPER 22
0.2%
PAROKETO 36
0.4%
PAYERA 38
0.4%
POKWERO 44
0.5%
PUNUATAR 23
0.2%
PUPU 44
0.5%
PUVUNGU CENTRAL 20
0.2%
PUVUNGU WEST 49
0.5%
RAMOGI 94
1%
RUBANGO 41
0.4%
RUHOKO 25
0.3%
RUPA 39
0.4%
RWAITENGYA 32
0.3%
RWAMUKOORA 47
0.5%
SWAGERE 117
1.3%
TAROGALI 59
0.6%
TEBOKE 20
0.2%
TEI-ORO 28
0.3%
THATHA WARD 75
0.8%
TOKORA 61
0.7%
TOROMA 29
0.3%
USUK 64
0.7%
VURR 79
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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