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    Home / Data Portal / GHA-ISSER-GSEPS-2018-2019-V1 / variable [F86]
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
286753
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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

Food name (foodname)

Data file: 11a_foodconsumption_prod_purch

Overview

Valid: 147479
Invalid: 0
Type: Discrete
Width: 42
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Alcoholic beverages 722
0.5%
Apple 477
0.3%
Avocado/pear 873
0.6%
Baby food 97
0.1%
Baby milk 31
0%
Banana 2166
1.5%
Beef 1698
1.2%
Biscuits 2513
1.7%
Black pepper 202
0.1%
Bread 4376
3%
Bush meat/wild game 384
0.3%
Cabbage 997
0.7%
Canned/tinned fish 1162
0.8%
Carrots 826
0.6%
Cassava 3443
2.3%
Cassava dough 2275
1.5%
Chicken/guinea fowl 2451
1.7%
Chocolate 170
0.1%
Coconut 1495
1%
Coconut oil 402
0.3%
Cocoyam 1487
1%
Cocoyam leaves (Kontomire) 2657
1.8%
Coffee, tea, cocoa, etc. 2563
1.7%
Cola nuts 148
0.1%
Cooked meals 2398
1.6%
Corned beef 97
0.1%
Cowpea beans 824
0.6%
Crab 352
0.2%
Dawadawa 1168
0.8%
Eggs 3379
2.3%
Fish 5051
3.4%
Flour 284
0.2%
Game birds 40
0%
Garden Eggs 3294
2.2%
Gari 2646
1.8%
Ginger 2468
1.7%
Goat meat 701
0.5%
Ground maize/corn dough 2404
1.6%
Groundnut oil 518
0.4%
Groundnuts 3107
2.1%
Guinea corn/sorghum 137
0.1%
Honey 306
0.2%
Ice cream, ice lollies, etc. 382
0.3%
Imported rice 3364
2.3%
Kenkey/banku 3031
2.1%
Local rice 2129
1.4%
Maize 3486
2.4%
Mango 894
0.6%
Margarine/butter 216
0.1%
Milk fresh 99
0.1%
Milk powder 1290
0.9%
Millet 505
0.3%
Mutton 239
0.2%
Okro 4024
2.7%
Onions (large or small) 5069
3.4%
Orange/tangerine 2234
1.5%
Other beans 1043
0.7%
Other beverages 92
0.1%
Other cereals 20
0%
Other condiments/spices 2283
1.5%
Other confectioneries 175
0.1%
Other eggs/poultry 25
0%
Other fruits 82
0.1%
Other meat 180
0.1%
Other milk products 38
0%
Other pulses and nuts 44
0%
Other starchy staples 30
0%
Other vegetable oils 3197
2.2%
Other vegetables 989
0.7%
Palm kernel oil 318
0.2%
Palm nuts 2530
1.7%
Palm oil 3635
2.5%
Pawpaw 820
0.6%
Pepper (fresh or dried) 5176
3.5%
Pineapple 1050
0.7%
Plantain 3340
2.3%
Pork 251
0.2%
Prekese 608
0.4%
Restaurants, cafes, canteens, hotels, etc. 104
0.1%
Sachet/bottled water 2840
1.9%
Salt 5322
3.6%
Shea butter 553
0.4%
Snails 456
0.3%
Soft drinks and juices 1803
1.2%
Soya beans 225
0.2%
Sugar (cube, granulated) 4683
3.2%
Sugarcane 750
0.5%
Tinned milk 1646
1.1%
Tobacco 115
0.1%
Tomato puree (canned) 3408
2.3%
Tomatoes (fresh) 4725
3.2%
Watermelon 1150
0.8%
Wild Mushrooms 313
0.2%
Yam 3709
2.5%
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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