Nigeria Living Standards Survey 2018-2019
Nigeria, 2018 - 2019
Get Microdata
Reference ID
NGA-NBS-NLSS-2018-v01
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Created on
May 27, 2021
Last modified
May 28, 2021
Page views
1140404
Downloads
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- Data files
- secta_cover
- sect_aux
- sect1_roster
- sect2_education
- sect3_health
- sect4a1_labour
- sect4a2_labour
- sect5_remittances
- sect6a_meals_outside
- sect6b_food_cons
- sect6c_aggregate_food_1
- sect6c_aggregate_food_2
- sect6c_aggregate_food_3
- sect07_7day
- sect07_12month
- sect07_30day
- sect8_food_security
- sect9a_enterprise
- sect9b_enterprise
- sect9c_enterprise
- sect9d_enterprise
- sect10_assets
- sect11a_credit
- sect11b_credit
- sect11c_credit
- sect12a_beta
- sect12a_safety
- sect12b_safety
- sect13_income
- sect14_housing
- sect16_shocks
- sect17_crime_security
- sect18_agriculture
- sect19a_land
- sect19b_land
- totcons
- sectc_cover
- sectc1_resp
- sectc2_infra
- sectc3_org
- sectc4a_land
- sectc4a_prices
- sectc4b_credit
- sectc5_changes
- sectc6_conflict
- sectc8_foodprices
- sect_result
ENUMERATOR: WHAT TYPE OF DWELLING DOES THE HOUSEHOLD LIVE IN? (refuse_dwell)
Data file: sect_result
Overview
Valid:
51
Invalid:
22536
Minimum:
1
Maximum:
10
Mean:
2.706
Type:
Discrete
Decimal:
0
Start:
1113
End:
1114
Width:
2
Range:
1 - 11
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. SEPARATE HOUSE (BUNGALOW) | 18 |
35.3%
|
| 2 | 2. SEMI-DETACHED HOUSE | 1 |
2%
|
| 3 | 3. FLAT/APARTMENT | 19 |
37.3%
|
| 4 | 4. COMPOUND HOUSE | 10 |
19.6%
|
| 5 | 5. HUTS/BUILDINGS [SAME COMPOUND] | 1 |
2%
|
| 6 | 6. HUTS/BUILDINGS [DIFFERENT COMPOUND] | 1 |
2%
|
| 7 | 7. TENTS | 0 |
0%
|
| 8 | 8. IMPROVISED HOME (KIOSK, CONTAINER) | 0 |
0%
|
| 9 | 9. LIVING QUARTERS ATTACHED TO OFFICE/SHOP | 0 |
0%
|
| 10 | 10. UNCOMPLETED BUILDING | 1 |
2%
|
| 11 | 11. OTHER (SPECIFY) | 0 |
0%
|
| Sysmiss | 22536 |
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.