Enquête Harmonisée sur les Conditions de Vie des Ménages 2018-2019
Niger, 2018 - 2019
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Reference ID
NER_2018-2019_EHCVM_v01_EN_M_v01_A_ESS
Producer(s)
National Institute of Statistics (Institut National de la Statistique (INS))
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Created on
Aug 30, 2024
Last modified
Nov 28, 2024
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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:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
92
End:
94
Width:
3
Range:
101 - 500
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 101 | Agadez |
| 102 | Diffa |
| 103 | Dosso |
| 104 | Maradi |
| 105 | Tahoua |
| 106 | Tillaberi |
| 107 | Zinder |
| 108 | Niamey |
| 201 | Gao |
| 202 | Tombouctou |
| 203 | Mopti |
| 204 | Bamako |
| 205 | Kayes |
| 206 | Koulikoro |
| 207 | Segou |
| 208 | Sikasso |
| 209 | Kidal |
| 301 | Abia |
| 302 | Adamawa |
| 303 | Akwa Ibom |
| 304 | Anambra |
| 305 | Bauchi |
| 306 | Bayelsa |
| 307 | Benue |
| 308 | Borno |
| 309 | Cross River |
| 310 | Delta |
| 311 | Ebonyi |
| 312 | Edo |
| 313 | Ekiti |
| 314 | Enugu |
| 315 | Gombe |
| 316 | Imo |
| 317 | Jigawa |
| 318 | Kaduna |
| 319 | Kano |
| 320 | Katsina |
| 321 | Kebbi |
| 322 | Kogi |
| 323 | Kwara |
| 324 | Lagos |
| 325 | Nassarawa |
| 326 | Niger |
| 327 | Ogun |
| 328 | Ondo |
| 329 | Osun |
| 330 | Oyo |
| 331 | Plateau |
| 332 | Rivers |
| 333 | Sokoto |
| 334 | Taraba |
| 335 | Yobe |
| 336 | Zamfara |
| 401 | Barh El Gazel |
| 402 | Batha |
| 403 | Borkou |
| 404 | Chari-Baguirmi |
| 405 | Ennedi Est |
| 406 | Ennedi Ouest |
| 407 | Guéra |
| 408 | Hadjer-Lamis |
| 409 | Kanem |
| 410 | Lac |
| 411 | Logone-Occidental |
| 412 | Logone-Oriental |
| 413 | Mandoul |
| 414 | Mayo-Kebbi-Est |
| 415 | Mayo-Kebbi-Ouest |
| 416 | Moyen-Chari |
| 417 | Ndjamena |
| 418 | Ouaddaï |
| 419 | Salamat |
| 420 | Sila |
| 421 | Tandjilé |
| 422 | Tibesti |
| 423 | Wadi Fira |
| 500 | Autre region |
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.