National Survey on Household Living Conditions and Agriculture - Wave 2, 2014 - 2015
Niger, 2014 - 2015
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Reference ID
NER_2014-2015_ECVMA-W2_v01_EN_M_v01_A_OCS
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Metadata
Created on
Aug 25, 2020
Last modified
Nov 08, 2022
Page views
102601
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- Data files
- COMPRIXC07P2
- COMPRIXC08P2
- comprixcs00
- comprixcs01
- comprixcs03a
- comprixcs06
- comprixcs07
- comprixcs08
- comprixge
- COMPRIXGENP2
- ECVMA2_0P2
- ECVMA2_AS1AP2
- ECVMA2_AS1P1
- ECVMA2_AS1P2
- ECVMA2_AS02CP1
- ECVMA2_AS2AP1
- ECVMA2_AS2AP2
- ECVMA2_AS2BP1
- ECVMA2_AS2E1P2
- ECVMA2_AS2E2P2
- ECVMA2_AS03P1
- ECVMA2_AS4AP2
- ECVMA2_AS4BP2
- ECVMA2_AS4CP2
- ECVMA2_AS4DP2
- ECVMA2_AS4EP2
- ECVMA2_AS4FP2
- ECVMA2_AS4GP2
- ECVMA2_AS4HP2
- ECVMA2_AS4IP2
- ECVMA2_AS4JP2
- ECVMA2_AS4KLP2
- ECVMA2_AS05P2
- ECVMA2_AS07P2
- ECVMA2_AS08AP2
- ECVMA2_AS08BP2
- ECVMA2_MS00P1
- ECVMA2_MS01P1
- ECVMA2_MS02P1
- ECVMA2_MS04P1
- ECVMA2_MS05AP1
- ECVMA2_MS05BP1
- ECVMA2_MS06P1
- ECVMA2_MS07P1
- ECVMA2_MS08P1
- ECVMA2_MS09AP1
- ECVMA2_MS09BP1
- ECVMA2_MS09CP1
- ECVMA2_MS10P1
- ECVMA2_MS11AP1
- ECVMA2_MS11AP2
- ECVMA2_MS11BP1
- ECVMA2_MS11BP2
- ECVMA2_MS11CP1
- ECVMA2_MS11DP1
- ECVMA2_MS11EP1
- ECVMA2_MS12P1
- ECVMA2_MS12P2
- ECVMA2_MS13AP1
- ECVMA2_MS13AP2
- ECVMA2_MS13BP1
- ECVMA2_MS13BP2
- ECVMA2_MS14P1
- ECVMA2_MS14P2
- ECVMA2_MS15P1
- ECVMA2_MS16P1
- ECVMA2_MS17P2
- ECVMA2_MS18P2
- ECVMA2014_P1P2_Conso
- ECVMA2014_P1P2_ConsoMen
- ECVMA2014welfare_T1c
- ecvma2_anthro
- ecvma2_as2dp2
- ecvma2_ms03p1
Département (MS00Q11)
Data file: ECVMA2_MS00P1
Overview
Valid:
3617
Invalid:
0
Minimum:
11
Maximum:
81
Type:
Discrete
Decimal:
0
Start:
56
End:
57
Width:
2
Range:
11 - 88
Format:
Numeric
Questions and instructions
Literal question
B. Identification du ménage (à partir de la fiche de dénombrement)
- Département
- Département
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Tchirozérine | 354 |
9.8%
|
| 12 | Arlit | 28 |
0.8%
|
| 13 | Bilma | 0 |
0%
|
| 21 | Diffa | 124 |
3.4%
|
| 22 | Maïné-Soroa | 137 |
3.8%
|
| 23 | N'Guigmi | 102 |
2.8%
|
| 31 | Dosso | 70 |
1.9%
|
| 32 | Boboye | 61 |
1.7%
|
| 33 | Dogondoutchi | 87 |
2.4%
|
| 34 | Gaya {added May/04, 07} | 56 |
1.5%
|
| 35 | Loga | 118 |
3.3%
|
| 41 | Madarounfa | 93 |
2.6%
|
| 42 | Aguié | 52 |
1.4%
|
| 43 | Dakoro | 79 |
2.2%
|
| 44 | Guidan-Roumdji | 55 |
1.5%
|
| 45 | Mayahi | 127 |
3.5%
|
| 46 | Tessaoua | 54 |
1.5%
|
| 51 | Tahoua | 137 |
3.8%
|
| 52 | Abalak | 1 |
0%
|
| 53 | Birni N'Konni | 63 |
1.7%
|
| 54 | Bouza | 35 |
1%
|
| 55 | Illéla | 49 |
1.4%
|
| 56 | Keita | 81 |
2.2%
|
| 57 | Madaoua | 45 |
1.2%
|
| 58 | Tchin-Tabaraden | 17 |
0.5%
|
| 61 | Tillaberi | 36 |
1%
|
| 62 | Filingué | 115 |
3.2%
|
| 63 | Kollo | 50 |
1.4%
|
| 64 | Ouallam | 89 |
2.5%
|
| 65 | Say | 16 |
0.4%
|
| 66 | Téra | 61 |
1.7%
|
| 71 | Mirriah | 207 |
5.7%
|
| 72 | Gouré | 66 |
1.8%
|
| 73 | Magaria | 66 |
1.8%
|
| 74 | Matamèye | 30 |
0.8%
|
| 75 | Tanout | 107 |
3%
|
| 81 | Niamey1 | 749 |
20.7%
|
| 82 | Niamey2 | 0 |
0%
|
| 83 | Niamey3 | 0 |
0%
|
| 84 | Niamey4 | 0 |
0%
|
| 85 | Niamey5 | 0 |
0%
|
| 88 | Etranger | 0 |
0%
|
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.