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.

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Jul 21, 2016

Last modified

Jul 21, 2016

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Parish (parish2)

Data file: sage_labourintermed

Overview

Valid: 17748

Invalid: 0

Type: Discrete

Width: 17

Range: -

Format: character

Questions and instructions

Categories

Value	Cases
AAKUM	101	0.6%
ABALANG	202	1.1%
ABANY	89	0.5%
ABAR EAST	188	1.1%
ABAR WEST	36	0.2%
ABEDI	126	0.7%
ABINDU WARD	51	0.3%
ABOKO	119	0.7%
ABONGO	95	0.5%
ABULI	86	0.5%
ABWOKODIA	36	0.2%
ABWONG	107	0.6%
ACABA	39	0.2%
ACEGERETOLIM	93	0.5%
ACENLWORO	68	0.4%
ACHERER	293	1.7%
ACHUNGI	48	0.3%
ADEM	40	0.2%
ADOLO	50	0.3%
ADYEDA	57	0.3%
AGANGA	99	0.6%
AGONG	54	0.3%
AJAR	87	0.5%
AKALI	78	0.4%
AKERE	105	0.6%
AKETO	75	0.4%
AKOKORO	87	0.5%
AKURAO	120	0.7%
AKUYAM	53	0.3%
ALARO	47	0.3%
ALIDO	44	0.2%
ALIRA	89	0.5%
ALWOROCENG	86	0.5%
AMII- AMILO	129	0.7%
AMII-ABERIDWOGO	47	0.3%
AMOR WARD	98	0.6%
AMOR WEST	36	0.2%
AMORIGOGA	90	0.5%
AMUN	62	0.3%
AMUSIA	37	0.2%
ANGODINGODI	49	0.3%
ANWANGI	105	0.6%
ANYARA	48	0.3%
AORNGA	73	0.4%
APARISIA	35	0.2%
APIRE	97	0.5%
APOI	64	0.4%
APUUTON	91	0.5%
ASURET	86	0.5%
ATANA	105	0.6%
ATIGOLWOK	25	0.1%
ATIK	137	0.8%
ATONGTIDI	181	1%
ATOPI	88	0.5%
ATULE	51	0.3%
ATYAK	109	0.6%
AWILA	99	0.6%
AYABI	47	0.3%
AYAGO	63	0.4%
AYEOLYEC	98	0.6%
BAMUSUUTA WARD	133	0.7%
BARAHIIJA	84	0.5%
BARODILO	45	0.3%
BORO	108	0.6%
BUCUNI WARD	31	0.2%
BUNG	48	0.3%
BURARRO	93	0.5%
BUSANZA	33	0.2%
BUTARA	92	0.5%
BUTIITI	33	0.2%
BUZIBWEERA WARD	86	0.5%
BWENZI	47	0.3%
CAMPSWAHILI JUU	52	0.3%
CAMPSWAHILLICHIN	32	0.2%
CENTRAL WARD	49	0.3%
CHEGERE	107	0.6%
CHELEUKO	53	0.3%
ENJERU	77	0.4%
ETEKOBER	36	0.2%
FOREST WARD	105	0.6%
GANDA	108	0.6%
HAKATOMA	45	0.3%
HIMA	74	0.4%
ILEE	32	0.2%
ISANDARA	45	0.3%
JUKIA WARD	65	0.4%
KABAALE	43	0.2%
KADINYA	28	0.2%
KAFUNDA PARISH	50	0.3%
KAGAA	143	0.8%
KAGOBE	45	0.3%
KAIHURA	51	0.3%
KAKERE	110	0.6%
KAKINDO	46	0.3%
KALAKI	47	0.3%
KALOKWAMERI	97	0.5%
KAMENU	127	0.7%
KAMUDA	101	0.6%
KANYALAM	72	0.4%
KAPUJAN	127	0.7%
KASABA	176	1%
KASEGA	112	0.6%
KASENYI	42	0.2%
KATAMBALE	197	1.1%
KATARA WARD	80	0.5%
KAYEERA	60	0.3%
KIBIRA	52	0.3%
KIBOGA TOWN WARD	38	0.2%
KIDILANI	65	0.4%
KIGOYERA	188	1.1%
KIGUNDU	95	0.5%
KIHUMIRO	42	0.2%
KIJUMA	35	0.2%
KIKODA	45	0.3%
KINOGERO PARISH	92	0.5%
KIRONGO WARD	92	0.5%
KIRULUMBA WARD	82	0.5%
KISOJO	47	0.3%
KITONGOLE	43	0.2%
KITONYA	42	0.2%
KIVUJE	28	0.2%
KOKORIO	109	0.6%
KORITOK	36	0.2%
KORYAMO	99	0.6%
KOTHIKE	34	0.2%
KUNGU	24	0.1%
KYABAGONZA	86	0.5%
KYABARANGA	67	0.4%
KYAKATWIRE	52	0.3%
KYAMITARA	36	0.2%
KYAMUGENYI	78	0.4%
KYAMUTASA	86	0.5%
KYANYABONGO WARD	74	0.4%
KYAYIMBA	31	0.2%
KYONGERA	49	0.3%
LOBODEGI	30	0.2%
LOBUNEIT	101	0.6%
LOKAALA	94	0.5%
LOPUTUK	85	0.5%
LOTIRIR	280	1.6%
MABAALE	98	0.6%
MAGORO	126	0.7%
MAJENGO	28	0.2%
MIRAMBI	126	0.7%
MITOMA	38	0.2%
MOGOTH	165	0.9%
MORUANGIBUIN	76	0.4%
MUKALE	119	0.7%
MUKUNYU	39	0.2%
MWARO WARD	34	0.2%
MYERI PARISH	69	0.4%
NABOLITH	87	0.5%
NADUNGET	199	1.1%
NAITAKWAE	214	1.2%
NAKADELI	140	0.8%
NAKOBEKOBE	79	0.4%
NAMRWODO WARD	52	0.3%
NAMTHIN WARD	43	0.2%
NATOPOJO	45	0.3%
NEBBI HILL WARD	48	0.3%
NSINDE	82	0.5%
NTOMA	80	0.5%
NYACARA WARD	140	0.8%
NYAIBANDA	31	0.2%
NYAKAGEI	220	1.2%
NYAKISI PARISH	74	0.4%
NYAMABUGA	87	0.5%
OGWIL	37	0.2%
OGWOLO	113	0.6%
OLAGO	235	1.3%
OLOLANGO	44	0.2%
OLYEJO	43	0.2%
OMID	35	0.2%
OMINYA	101	0.6%
OMWIBALE	75	0.4%
ONGEMA	53	0.3%
ONGICIA	43	0.2%
ONGOCENG	33	0.2%
OPETA	80	0.5%
ORIMAI	62	0.3%
OWEKO	79	0.4%
OWINY	72	0.4%
PACEGO	142	0.8%
PACHAKA	163	0.9%
PADOLO	259	1.5%
PAJUR	141	0.8%
PAKIA	80	0.5%
PALATAU	131	0.7%
PAMINYA LOWER	23	0.1%
PAMINYA UPPER	33	0.2%
PAMITU	44	0.2%
PAMORA UPPER	39	0.2%
PAROKETO	60	0.3%
PAYERA	104	0.6%
POKWERO	71	0.4%
PUNUATAR	55	0.3%
PUPU	101	0.6%
PUVUNGU CENTRAL	42	0.2%
PUVUNGU WEST	107	0.6%
RAMOGI	206	1.2%
RUBANGO	80	0.5%
RUHOKO	38	0.2%
RUPA	71	0.4%
RWAITENGYA	61	0.3%
RWAMUKOORA	95	0.5%
SWAGERE	188	1.1%
TAROGALI	138	0.8%
TEBOKE	31	0.2%
TEI-ORO	61	0.3%
THATHA WARD	131	0.7%
TOKORA	115	0.6%
TOROMA	33	0.2%
USUK	101	0.6%
VURR	158	0.9%

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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