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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURE-CENSUS-SURVEYS / NGA_2018-2019_GHS-W4_V01_EN_M_V01_A_OCS / variable [F12]
agriculture-census-surveys

General Household Survey, Panel 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018-2019_GHS-W4_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics
Collections
Agriculture Census and Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 10, 2020
Last modified
Nov 08, 2022
Page views
39869
Downloads
661
  • Study Description
  • Data Description
  • Downloads
  • Data files
  • secta_plantingw4
  • sect1_plantingw4
  • sect3_plantingw4
  • sect3b_plantingw4
  • sect3q38_plantingw4
  • sect4a1_plantingw4
  • sect4a2_plantingw4
  • sect4b_plantingw4
  • sect4c1_plantingw4
  • sect4c2_plantingw4
  • sect4c3_plantingw4
  • sect5_plantingw4
  • sect7a_plantingw4
  • sect7b_plantingw4
  • sect8a_plantingw4
  • sect8b_plantingw4
  • sect8c_plantingw4
  • sect9_plantingw4
  • sect11_plantingw4
  • aux_plantingw4
  • sect11a_plantingw4
  • sect11b1_plantingw4
  • sect11b1q10_plantingw4
  • sect11c1a_plantingw4
  • sect11c1b_plantingw4
  • sect11e1_plantingw4
  • sect11e2_plantingw4
  • sect11f_plantingw4
  • sect11i_plantingw4
  • sect11j_plantingw4
  • sect11k1_plantingw4
  • sect11k2_plantingw4
  • sect11k3_plantingw4
  • sect11l1_plantingw4
  • sect11l2_plantingw4
  • sectc_plantingw4
  • sectc1_plantingw4
  • sectc2_plantingw4
  • sectc3a_plantingw4
  • sectc3b_plantingw4
  • sectc4a_plantingw4
  • sectc4b_plantingw4
  • sectc4c_plantingw4
  • secta_harvestw4
  • sect2_harvestw4
  • sect3a_harvestw4
  • sect3b_harvestw4
  • sect4a_harvestw4
  • sect6_harvestw4
  • sect9a_harvestw4
  • sect9b_harvestw4
  • sect9c_harvestw4
  • sect9d_harvestw4
  • sect10a_harvestw4
  • sect10b_harvestw4
  • sect10c_harvestw4
  • sect11a_harvestw4
  • sect11b_harvestw4
  • sect11c_harvestw4
  • sect11d_harvestw4
  • sect12_harvestw4
  • sect13_harvestw4
  • sect14a_harvestw4
  • sect14b_harvestw4
  • sect15a_harvestw4
  • aux_harvestw4
  • sectaa_harvestw4
  • secta2a_harvestw4
  • secta2b_harvestw4
  • secta3i_harvestw4
  • secta3ii_harvestw4
  • secta3iii_harvestw4
  • secta4_harvestw4
  • secta5b_harvestw4
  • secta9a_harvestw4
  • secta11c2_harvestw4
  • secta11c3_harvestw4
  • secta11c3q12_harvestw4
  • sectaphl1_harvestw4
  • sectaphl2_harvestw4
  • sectc_harvestw4
  • sectc1_harvestw4
  • sectc2_harvestw4
  • sectc3_harvestw4
  • sectc4_harvestw4
  • sectc5_harvestw4
  • sectc6_harvestw4
  • sectc7_harvestw4
  • sectc8_harvestw4
  • sectc9a_harvestw4
  • sectc9b_harvestw4
  • sect11a1_plantingw4
  • sect1_harvestw4
  • secta1_harvestw4

ITEM CODE (item_cd)

Data file: sect5_plantingw4

Overview

Valid: 181800
Invalid: 0
Type: Discrete
Decimal: 0
Width: 4
Range: 301 - 3341
Format: Numeric

Questions and instructions

Categories
Value Category Cases
301 301. Furniture (3/4 piece sofa set) 5050
2.8%
302 302. Furniture (chairs) 5050
2.8%
303 303. Furniture (table) 5050
2.8%
304 304. Mattress 5050
2.8%
305 305. Bed 5050
2.8%
306 306. Mat 5050
2.8%
307 307. Sewing machine 5050
2.8%
308 308. Gas cooker 5050
2.8%
309 309. Stove (electric) 5050
2.8%
310 310. Stove gas (table) 5050
2.8%
311 311. Stove (kerosene) 5050
2.8%
312 312. Fridge 5050
2.8%
313 313. Freezer 5050
2.8%
314 314. Air conditioner 5050
2.8%
315 315. Washing Machine 5050
2.8%
316 316. Electric Clothes Dryer 5050
2.8%
317 317. Bicycle 5050
2.8%
318 318. Motorbike 5050
2.8%
319 319. Cars and other vehicles 5050
2.8%
320 320. Generator 5050
2.8%
321 321. Fan 5050
2.8%
322 322. Radio 5050
2.8%
323 323. Cassette recorder 5050
2.8%
324 324. Hi-Fi (Sound System) 5050
2.8%
325 325. Microwave 5050
2.8%
326 326. Iron 5050
2.8%
327 327. TV Set 5050
2.8%
328 328. Computer 5050
2.8%
329 329. DVD Player 5050
2.8%
330 330. Satellite Dish 5050
2.8%
331 331. Musical Instrument 5050
2.8%
333 333. Inverter 5050
2.8%
3021 3021. Plastic chairs 5050
2.8%
3321 3321. Smart Phone 5050
2.8%
3322 3322. Regular mobile phone 5050
2.8%
3341 3341. Other (Specify) 5050
2.8%
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.
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