Enquête Harmonisée sur le Conditions de Vie des Ménages 2018-2019
Niger, 2018 - 2019
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May 11, 2022
Last modified
Sep 01, 2022
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- Data files
- s00_me_ner2018
- s01_me_ner2018
- s02_me_ner2018
- s03_me_ner2018
- s04_me_ner2018
- s05_me_ner2018
- s06_me_ner2018
- s07a1_me_ner2018
- s07a2_me_ner2018
- s07b_me_ner2018
- s08a_me_ner2018
- s08b1_me_ner2018
- s08b2_me_ner2018
- s09a_me_ner2018
- s09b_me_ner2018
- s09c_me_ner2018
- s09d_me_ner2018
- s09e_me_ner2018
- s09f_me_ner2018
- s10_1_me_ner2018
- s10_2_me_ner2018
- s11_me_ner2018
- s12_me_ner2018
- s13a_1_me_ner2018
- s13a_2_me_ner2018
- s13b_1_me_ner2018
- s13b_2_me_ner2018
- s14_me_ner2018
- s15_me_ner2018
- s16a_me_ner2018
- s16b_me_ner2018
- s16c_me_ner2018
- s17_me_ner2018
- s18_1_me_ner2018
- s18_2_me_ner2018
- s18_3_me_ner2018
- s18_4_me_ner2018
- s19_me_ner2018
- s20_me_ner2018
- s00a_co_ner2018
- s00b_co_ner2018
- s01_co_ner2018
- s02_co_ner2018
- s03_co_ner2018
- s04_co_ner2018
- s05_co_ner2018
- ehcvm_individu_ner2018
- ehcvm_menage_ner2018
- ehcvm_ponderations_ner2018
- ehcvm_conso_ner2018
- ehcvm_welfare_ner2018
- grappe_gps_ner2018
1.20b.Quelle était la region de residence de [NOM] dans son pays d'origine? (s01q20b)
Data file: s01_me_ner2018
Overview
Valid:
94
Invalid:
35312
Type:
Discrete
Decimal:
0
Start:
92
End:
94
Width:
3
Range:
101 - 500
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Agadez | 0 |
0%
|
| 102 | Diffa | 26 |
27.7%
|
| 103 | Dosso | 0 |
0%
|
| 104 | Maradi | 1 |
1.1%
|
| 105 | Tahoua | 0 |
0%
|
| 106 | Tillaberi | 0 |
0%
|
| 107 | Zinder | 1 |
1.1%
|
| 108 | Niamey | 0 |
0%
|
| 201 | Gao | 0 |
0%
|
| 202 | Tombouctou | 0 |
0%
|
| 203 | Mopti | 0 |
0%
|
| 204 | Bamako | 0 |
0%
|
| 205 | Kayes | 0 |
0%
|
| 206 | Koulikoro | 0 |
0%
|
| 207 | Segou | 0 |
0%
|
| 208 | Sikasso | 0 |
0%
|
| 209 | Kidal | 0 |
0%
|
| 301 | Abia | 0 |
0%
|
| 302 | Adamawa | 0 |
0%
|
| 303 | Akwa Ibom | 0 |
0%
|
| 304 | Anambra | 0 |
0%
|
| 305 | Bauchi | 0 |
0%
|
| 306 | Bayelsa | 0 |
0%
|
| 307 | Benue | 0 |
0%
|
| 308 | Borno | 52 |
55.3%
|
| 309 | Cross River | 0 |
0%
|
| 310 | Delta | 0 |
0%
|
| 311 | Ebonyi | 0 |
0%
|
| 312 | Edo | 0 |
0%
|
| 313 | Ekiti | 0 |
0%
|
| 314 | Enugu | 0 |
0%
|
| 315 | Gombe | 0 |
0%
|
| 316 | Imo | 0 |
0%
|
| 317 | Jigawa | 0 |
0%
|
| 318 | Kaduna | 0 |
0%
|
| 319 | Kano | 0 |
0%
|
| 320 | Katsina | 0 |
0%
|
| 321 | Kebbi | 0 |
0%
|
| 322 | Kogi | 0 |
0%
|
| 323 | Kwara | 0 |
0%
|
| 324 | Lagos | 0 |
0%
|
| 325 | Nassarawa | 0 |
0%
|
| 326 | Niger | 2 |
2.1%
|
| 327 | Ogun | 0 |
0%
|
| 328 | Ondo | 0 |
0%
|
| 329 | Osun | 0 |
0%
|
| 330 | Oyo | 0 |
0%
|
| 331 | Plateau | 0 |
0%
|
| 332 | Rivers | 0 |
0%
|
| 333 | Sokoto | 0 |
0%
|
| 334 | Taraba | 0 |
0%
|
| 335 | Yobe | 8 |
8.5%
|
| 336 | Zamfara | 0 |
0%
|
| 401 | Barh El Gazel | 0 |
0%
|
| 402 | Batha | 0 |
0%
|
| 403 | Borkou | 0 |
0%
|
| 404 | Chari-Baguirmi | 0 |
0%
|
| 405 | Ennedi Est | 0 |
0%
|
| 406 | Ennedi Ouest | 0 |
0%
|
| 407 | Guéra | 0 |
0%
|
| 408 | Hadjer-Lamis | 0 |
0%
|
| 409 | Kanem | 0 |
0%
|
| 410 | Lac | 0 |
0%
|
| 411 | Logone-Occidental | 0 |
0%
|
| 412 | Logone-Oriental | 0 |
0%
|
| 413 | Mandoul | 0 |
0%
|
| 414 | Mayo-Kebbi-Est | 0 |
0%
|
| 415 | Mayo-Kebbi-Ouest | 0 |
0%
|
| 416 | Moyen-Chari | 0 |
0%
|
| 417 | Ndjamena | 0 |
0%
|
| 418 | Ouaddaï | 0 |
0%
|
| 419 | Salamat | 0 |
0%
|
| 420 | Sila | 0 |
0%
|
| 421 | Tandjilé | 0 |
0%
|
| 422 | Tibesti | 0 |
0%
|
| 423 | Wadi Fira | 0 |
0%
|
| 500 | Autre region | 4 |
4.3%
|
| Sysmiss | 35312 |
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.