Social Assistance Grants for Empowerment Programme 2013, Evaluation Follow-Up Survey
Uganda, 2013
Get Microdata
Reference ID
UGA_2013_SAGE-ML_v01_M
Producer(s)
Oxford Policy Management Ltd.
Metadata
Created on
Jul 21, 2016
Last modified
Jul 21, 2016
Page views
122462
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- Data files
- SAGE_HHWEIGHTSV2
- districts_SCG
- districts_VFSG
- districts2010_SCG
- districts2010_VFSG
- int_community
- int_facilities1
- int_facilities2
- int_markets1
- int_markets2
- int_markets3
- int_tracking
- int_treatment_status
- sage_comids
- sage_fcsexpanded
- sage_foodsecintermed
- sage_labourintermed
- int_operational
- int_welfare_hhassets_productive
- int_welfare_hhlivestock
- int_welfare_memdata
- int_welfare_hh
- int_cohesion_dec1
- int_cohesion_dec2
- int_cohesion_dec3
- int_cohesion_empow
- int_consexp
- int_demographics_hh
- int_demographics_mem
- int_migration
- int_migration_HH
- int_asset_index
- int_cohesion
- int_access_health
- int_access_health_hh
- int_access_school
- int_access_educ18plus
- int_access_fin
- sage_anthrointermed
- int_ben_characteristics
(DNAME_2006)
Data file: districts2010_VFSG
Overview
Valid:
112
Invalid:
0
Type:
Discrete
Start:
308
End:
323
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABIM | 1 |
0.9%
|
|
| ADJUMANI | 1 |
0.9%
|
|
| AGAGO | 1 |
0.9%
|
|
| AMOLATAR | 1 |
0.9%
|
|
| AMUDAT | 1 |
0.9%
|
|
| AMURIA | 1 |
0.9%
|
|
| AMURU | 1 |
0.9%
|
|
| APAC | 2 |
1.8%
|
|
| ARUA | 1 |
0.9%
|
|
| BUDAKA | 1 |
0.9%
|
|
| BUDUDA | 1 |
0.9%
|
|
| BUGIRI | 2 |
1.8%
|
|
| BUKEDEA | 1 |
0.9%
|
|
| BUKWO | 1 |
0.9%
|
|
| BULIISA | 1 |
0.9%
|
|
| BUNDIBUGYO | 2 |
1.8%
|
|
| BUSHENYI | 5 |
4.5%
|
|
| BUSIA | 1 |
0.9%
|
|
| BUTALEJA | 1 |
0.9%
|
|
| DOKOLO | 1 |
0.9%
|
|
| GULU | 1 |
0.9%
|
|
| HOIMA | 1 |
0.9%
|
|
| IBANDA | 1 |
0.9%
|
|
| IGANGA | 2 |
1.8%
|
|
| ISINGIRO | 1 |
0.9%
|
|
| JINJA | 1 |
0.9%
|
|
| KAABONG | 1 |
0.9%
|
|
| KABALE | 1 |
0.9%
|
|
| KABAROLE | 1 |
0.9%
|
|
| KABERAMAIDO | 1 |
0.9%
|
|
| KALANGALA | 1 |
0.9%
|
|
| KALIRO | 1 |
0.9%
|
|
| KAMPALA | 1 |
0.9%
|
|
| KAMULI | 2 |
1.8%
|
|
| KAMWENGE | 1 |
0.9%
|
|
| KANUNGU | 1 |
0.9%
|
|
| KAPCHORWA | 2 |
1.8%
|
|
| KASESE | 1 |
0.9%
|
|
| KATAKWI | 1 |
0.9%
|
|
| KAYUNGA | 1 |
0.9%
|
|
| KIBAALE | 1 |
0.9%
|
|
| KIBOGA | 2 |
1.8%
|
|
| KIRUHURA | 1 |
0.9%
|
|
| KISORO | 1 |
0.9%
|
|
| KITGUM | 1 |
0.9%
|
|
| KOBOKO | 1 |
0.9%
|
|
| KOTIDO | 1 |
0.9%
|
|
| KUMI | 2 |
1.8%
|
|
| KYENJOJO | 2 |
1.8%
|
|
| LAMWO | 1 |
0.9%
|
|
| LIRA | 3 |
2.7%
|
|
| LUWERO | 1 |
0.9%
|
|
| LYANTONDE | 1 |
0.9%
|
|
| MANAFWA | 1 |
0.9%
|
|
| MARACHA (NYADRI) | 1 |
0.9%
|
|
| MASAKA | 4 |
3.6%
|
|
| MASINDI | 2 |
1.8%
|
|
| MAYUGE | 1 |
0.9%
|
|
| MBALE | 1 |
0.9%
|
|
| MBARARA | 1 |
0.9%
|
|
| MITYANA | 1 |
0.9%
|
|
| MOROTO | 1 |
0.9%
|
|
| MOYO | 1 |
0.9%
|
|
| MPIGI | 3 |
2.7%
|
|
| MUBENDE | 1 |
0.9%
|
|
| MUKONO | 3 |
2.7%
|
|
| NAKAPIRIPIRIT | 1 |
0.9%
|
|
| NAKASEKE | 1 |
0.9%
|
|
| NAKASONGOLA | 1 |
0.9%
|
|
| NAMUTUMBA | 1 |
0.9%
|
|
| NAPAK | 1 |
0.9%
|
|
| NEBBI | 2 |
1.8%
|
|
| NTUNGAMO | 1 |
0.9%
|
|
| NWOYA | 1 |
0.9%
|
|
| OYAM | 1 |
0.9%
|
|
| PADER | 1 |
0.9%
|
|
| PALLISA | 2 |
1.8%
|
|
| RAKAI | 1 |
0.9%
|
|
| RUKUNGIRI | 1 |
0.9%
|
|
| SIRONKO | 2 |
1.8%
|
|
| SOROTI | 2 |
1.8%
|
|
| SSEMBABULE | 1 |
0.9%
|
|
| TORORO | 1 |
0.9%
|
|
| WAKISO | 1 |
0.9%
|
|
| YUMBE | 1 |
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.