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    Home / Data Portal / GHA-ISSER-GSEPS-2018-2019-V1 / variable [F59]
central

Ghana Socioeconomic Panel Survey 2018-2019, Wave 3

Ghana, 2018 - 2019
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Reference ID
gha-isser-gseps-2018-2019-v1
Producer(s)
Institute of Statistical, Social and Economic Research,
Collections
African Centre of Excellence for Inequality Research-Ghana Node
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 10, 2021
Last modified
Aug 15, 2022
Page views
287803
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • 00_hh_info
  • 01a_consent
  • 01b2_newroster
  • 01b2_preroster
  • 01b2_roster
  • 01d_background
  • 01ei_ravens
  • 01eii_fluency
  • 01eiii_math
  • 01eiv_nepsy
  • 01ev_digitspan
  • 01evi_english
  • 01evii_anthropometry
  • 01eviii_consumption
  • 01fa_employmentscreener
  • 01fii_employmentsecondary
  • 01fiii_unemployed
  • 01gi_generaleducation
  • 01gii_edcareer
  • 01giii_literacy
  • 01hi_immigration
  • 01hii_migrationhistory
  • 02a_nr_relatives_newroster
  • 02a_nr_relatives_preroster
  • 02a_nr_relatives_questions
  • 02a_nr_relatives_roster
  • 02b_nr_spouses_newroster
  • 02b_nr_spouses_preroster
  • 02b_nr_spouses_questions
  • 02b_nr_spouses_roster
  • 03ai_animalquestions
  • 03ai_animalquestions_osp
  • 03aii_toolquestions
  • 03aii_toolquestions_osp
  • 03aiii_durablegoodquestions
  • 03aiii_durablegoodquestions_osp
  • 03bi_borrowingquestions
  • 03bia_borrowingquestions
  • 03bii_lendingquestions
  • 03biii_outtransfersquestions
  • 03biv_intransfersquestions
  • 03biv_intransfersquestions_org
  • 03bv_savingquestions
  • 04_plotroster
  • 04h_agsection
  • 04i_landtenure
  • 04j_tracploughuse
  • 04k_seedquestions
  • 04l_chemquestions
  • 04l_inputs
  • 04m_aglabourquestions
  • 04n_harvestquestions
  • 04nn_gatheringquestions
  • 04o_cropsalesstoresquestions
  • 04o_cropsalesstoresservices
  • 05_bizsection
  • 05ai_basicinfo
  • 05aii_assetquestions
  • 05aii_assetquestions_osp
  • 05bi_allemployees
  • 05bii_fourimportantquestions
  • 06a_insurance
  • 06c_immunization
  • 06d_dailyliving
  • 06e_miscellaneous
  • 06f_past2weeks
  • 06g_past12months
  • 07a_fertility
  • 07b_power
  • 08a_reprohealth
  • 08b_power
  • 09a_youngchildhealth
  • 10_determine_respondents
  • 10ai_depression
  • 10aii_subjectivesocialwelfare
  • 10aiv_townsend
  • 10av_trust
  • 10avi_careforkids
  • 10avi_timeuseloop
  • 10bii_riskpreferences
  • 10c_socialnetworkingquestions
  • 10di_binteractionsquestions
  • 10dii_mediaextensionsquestions
  • 10diii_volunteer_questions
  • 11a_foodconsumption_give
  • 11a_foodconsumption_prod_purch
  • 11b_clothingquestions
  • 11c_otheritems
  • 11d_fuelconsumptionquestions
  • 12a_housingcharacteristics1i_rent
  • 12a_housingcharacteristics1ii_utilities
  • 12a_housingcharacteristics1iii_structure
  • 12a_measure
  • 12a_measurements
  • 12b_housingcharacteristics2
  • commtype
  • outtransfersquestions
  • 01fi_employmentmain

Asset name (assetname)

Data file: 05aii_assetquestions_osp

Overview

Valid: 242
Invalid: 0
Type: Discrete
Width: 38
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
40 1
0.4%
A Set Of Plier 1
0.4%
Air Conditioner 2
0.8%
Banking Sheets 1
0.4%
Barrels 2
0.8%
Basin 1
0.4%
Basket 8
3.3%
Bench 1
0.4%
Blender 1
0.4%
Books 2
0.8%
Bottles/glasses 4
1.7%
Bowl 19
7.9%
Box Iron 1
0.4%
Cake Tins 1
0.4%
Car/truck 2
0.8%
Chair 9
3.7%
Coal Pot 3
1.2%
Computer 1
0.4%
Container 5
2.1%
Cooking Utensils 10
4.1%
Cutlass 1
0.4%
Dish 1
0.4%
Dryer 2
0.8%
Fan 1
0.4%
Fishing Net 5
2.1%
Fly Wip Puller 1
0.4%
Freezer 7
2.9%
Gallons And Barrels 1
0.4%
Gas Cylinder 2
0.8%
Gas Stove 1
0.4%
Glass Showcase 3
1.2%
Guarding Line 1
0.4%
Hairdressing Equipment 3
1.2%
Hammer 2
0.8%
Ice Cooler 2
0.8%
Iron 1
0.4%
Ladle 1
0.4%
Land 1
0.4%
Mattock 1
0.4%
Metal Shafts 1
0.4%
Metal Springs 1
0.4%
Moods 1
0.4%
Motorcycle 6
2.5%
Musical Instruments 1
0.4%
Oven 3
1.2%
Pallet Knife 1
0.4%
Pan 15
6.2%
Plates 3
1.2%
Plot 1
0.4%
Pot 6
2.5%
Power Generator 1
0.4%
Rake 1
0.4%
Refrigerator 4
1.7%
Room 1
0.4%
Sacks 8
3.3%
Scale 2
0.8%
Scissors 2
0.8%
Screwdriver 2
0.8%
Seive 1
0.4%
Selling Board 1
0.4%
Serving Tray 1
0.4%
Sewing Machine 9
3.7%
Shifting Spanner 1
0.4%
Shoe Pins And Thread 1
0.4%
Shop/store 10
4.1%
Shovel 3
1.2%
Sieve 1
0.4%
Socket Bar 1
0.4%
Sound System 2
0.8%
Spade And Trowel 1
0.4%
Spanner 2
0.8%
Spartulet 1
0.4%
Table 24
9.9%
Tailor 1
0.4%
Tape Measures 1
0.4%
Television 1
0.4%
Toolbox 2
0.8%
Umbrella 1
0.4%
Washing Machine 1
0.4%
Water Hole 1
0.4%
Water Tanks 1
0.4%
Wooden Box/case 2
0.8%
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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