Social Assistance Grants for Empowerment Programme 2012
Uganda, 2012
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Jan 18, 2017
Last modified
Mar 29, 2019
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- Data files
- SAGE_HHWEIGHTSV2
- int_facilities1
- int_facilities2
- int_markets1
- int_markets2
- int_markets3
- sage_fcsexpanded
- sage_foodsecintermed
- sage_labourintermed
- int_migration
- int_migration_HH
- int_welfare_hh
- int_welfare_hhassets_productive
- int_welfare_hhlivestock
- int_welfare_memdata
- sage_anthrointermed
- sage_comids
- int_cohesion_dec1
- int_cohesion_dec2
- int_cohesion_dec3
- int_cohesion_empow
- int_consexp
- int_demographics_hh
- int_demographics_mem
- int_access_school
- int_asset_index
- int_cohesion
- int_access_health
- int_access_health_hh
- int_access_fin
- int_access_educ18plus
hh11 q5 how much in total is currently held in savings by all members of your h (hh11_q5)
Data file: int_access_fin
Overview
Valid:
1311
Invalid:
2669
Type:
Discrete
Decimal:
0
Width:
20
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 98 | don't know |
| 200 | |
| 300 | |
| 500 | |
| 1000 | |
| 1500 | |
| 2000 | |
| 2200 | |
| 2500 | |
| 3000 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 6500 | |
| 6600 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8800 | |
| 9000 | |
| 9500 | |
| 9900 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 12300 | |
| 13000 | |
| 15000 | |
| 15400 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 18000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22800 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 27000 | |
| 30000 | |
| 31850 | |
| 32000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 35200 | |
| 36000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 44000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 50000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 60000 | |
| 63000 | |
| 64000 | |
| 66000 | |
| 68000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 76000 | |
| 80000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 87000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 94000 | |
| 100000 | |
| 105000 | |
| 108000 | |
| 110000 | |
| 112000 | |
| 120000 | |
| 126000 | |
| 127000 | |
| 130000 | |
| 137000 | |
| 138000 | |
| 140000 | |
| 145000 | |
| 150000 | |
| 155000 | |
| 156000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 195000 | |
| 200000 | |
| 205000 | |
| 210000 | |
| 216000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 235000 | |
| 240000 | |
| 250000 | |
| 252000 | |
| 260000 | |
| 267000 | |
| 268000 | |
| 270000 | |
| 277000 | |
| 280000 | |
| 300000 | |
| 310000 | |
| 319000 | |
| 320000 | |
| 340000 | |
| 349000 | |
| 350000 | |
| 400000 | |
| 430000 | |
| 436000 | |
| 444000 | |
| 448000 | |
| 450000 | |
| 500000 | |
| 600000 | |
| 630000 | |
| 650000 | |
| 700000 | |
| 720000 | |
| 770000 | |
| 800000 | |
| 900000 | |
| 910000 | |
| 1000000 | |
| 1030000 | |
| 1250000 | |
| 1300000 | |
| 1500000 | |
| 1700000 | |
| 1800000 | |
| 2000000 | |
| 2200000 | |
| 3000000 | |
| 3800000 | |
| 4000000 | |
| 5000000 | |
| 5500000 | |
| 6000000 | |
| 6500000 | |
| 10000000 | |
| 15000000 | |
| 30000000 | |
| 62000000 | |
| Sysmiss |
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.