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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NER_2011-2012_ECVMA_V01_EN_M_V01_A_OCS / variable [F59]
agricultural-surveys

National Survey on Household Living Conditions and Agriculture 2011

Niger, 2011 - 2012
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Reference ID
NER_2011-2012_ECVMA_v01_EN_M_v01_A_OCS
Producer(s)
Survey and Census Division
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Agricultural Surveys
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Created on
Aug 18, 2020
Last modified
Nov 08, 2022
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  • Study Description
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  • Data files
  • ecvma12m_p1
  • ecvma30j_p1
  • ecvma6mo_p1
  • ecvma7jo_p1
  • ecvmaactif_p1
  • ecvmachoc_p1
  • ecvmaas1_p1
  • ecvmaas2b_p1
  • ecvmaas2c_p1
  • ecvmaas3b_p1
  • ecvmaas3c_p1
  • ecvmaas3d_p1
  • ecvmaas3e_p1
  • ecvmaas1_p1_en
  • ecvmaas2b_p1_en
  • ecvmaas2c_p1_en
  • ecvmaas3c_p1_en
  • ecvmaas3d_p1_en
  • ecvmaas3e_p1_en
  • ecvmacoms00_p1
  • ecvmacoms01_p1
  • ecvmacoms02_p1
  • ecvmacoms03_p1
  • ecvmacoms06_p1
  • ecvmacoms07_p1
  • ecvmaas3b_p1_en
  • ecvmacoms00_p1_en
  • ecvmacoms01_p1_en
  • ecvmacoms02_p1_en
  • ecvmacoms03_p1_en
  • ecvmacoms06_p1_en
  • ecvmacoms07_p1_en
  • ecvm6mo_p1_en
  • ecvma7jo_p1_en
  • ecvma12m_p1_en
  • ecvma30j_p1_en
  • ecvmaactif_p1_en
  • ecvmaali_p1
  • ecvmaali_p1_en
  • ecvmaco1_p1
  • ecvmaco2_p1
  • ecvmaent_p1
  • ecvmafet_p1
  • ecvmaind_p1p2
  • ecvmamen_p1
  • ecvmarev_p1
  • ecvmasection00_p1
  • ecvmatemis_p1
  • ecvmatrecus_p1
  • ECVMA2011_P1P2_Conso_en
  • ECVMA2011_Welfare_en
  • Ponderation_Finale_31_05_2013_en
  • Ponderation_Poverty_31_05_2013_en
  • ECVMA2011_P1P2_Conso
  • ECVMA2011_Welfare
  • Ponderation_Finale_31_05_2013
  • Ponderation_Poverty_31_05_2013
  • NER_EA_Offsets
  • NER_HouseholdGeovars_Y1
  • NER_PlotGeovariables_Y1
  • ecvmaco1_p1_en
  • ecvmaco2_p1_en
  • ecvmaent_p1_en
  • ecvmafet_p1_en
  • ecvmaind_p1p2_en
  • ecvmamen_p1_en
  • ecvmarev_p1_en
  • ecvmasection00_p1_en
  • ecvmatemis_p1_en
  • ecvmatrecus_p1_en
  • ecvma7jo_p2_en
  • ecvma30j_p2_en
  • ecvmaali_p2_en
  • ecvmaco1_p2_en
  • ecvmaco2_p2_en
  • ecvmamen_p2_en
  • ecvmasection00_p2_en
  • ecvma7jo_p2
  • ecvma30j_p2
  • ecvmaali_p2
  • ecvmaco1_p2
  • ecvmaco2_p2
  • ecvmamen_p2
  • ecvmasection00_p2
  • ecvmacoms07_p2_en
  • ecvmacoms07_p2
  • ecvmaas1_p2_en
  • ecvmaas2d_p2_en
  • ecvmaas2e_p2_en
  • ecvmaas4a_p2_en
  • ecvmaas4b_p2_en
  • ecvmaas4e_p2_en
  • ecvmaas4h_p2_en
  • ecvmaas4h3_p2_en
  • ecvmaas4i_p2_en
  • ecvmaas4j_p2_en
  • ecvmaas05_p2_en
  • ecvmaas06_p2_en
  • ecvmaas07_p2_en
  • ecvmaas08_p2_en
  • ecvmaas1_p2
  • ecvmaas2d_p2
  • ecvmaas2e_p2
  • ecvmaas4a_p2
  • ecvmaas4b_p2
  • ecvmaas4e_p2
  • ecvmaas4h_p2
  • ecvmaas4h3_p2
  • ecvmaas4i_p2
  • ecvmaas4j_p2
  • ecvmaas05_p2
  • ecvmaas06_p2
  • ecvmaas07_p2
  • ecvmaas08_p2
  • ecvmachoc_p1_en

Product code (codpr)

Data file: ECVMA2011_P1P2_Conso_en

Overview

Valid: 306338
Invalid: 0
Type: Discrete
Decimal: 0
Start: 12
End: 14
Width: 3
Range: 101 - 825
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Matches 6955
2.3%
102 Firewood for heat 2944
1%
103 Wood charcoal/coal 629
0.2%
104 Batteries, candles 4755
1.6%
105 Kerosene 417
0.1%
106 Urban transport 1928
0.6%
107 Prepaid phone card 3771
1.2%
108 Newspapers and magazines 101
0%
109 Fee to mill grains 3249
1.1%
201 Domestic gas 241
0.1%
202 Fuel for vehicles 1331
0.4%
203 Lubricants 718
0.2%
204 Repair & maintenance services 765
0.2%
205 Household soap 7407
2.4%
206 Insecticide 904
0.3%
207 Bath soap 5728
1.9%
208 Skin cream(glycerine etc) 4154
1.4%
209 Feminine hygiene products,disposable for baby etc 254
0.1%
210 Other beauty products(razor,shampoo etc) 840
0.3%
211 Expenses for hairdressing 4463
1.5%
212 Toothpaste 830
0.3%
213 Toothbrush 334
0.1%
214 Toilette paper 53
0%
215 Light bulbs 335
0.1%
216 Expenses for postage stamps etc 65
0%
217 Expenses for using telephones 46
0%
218 Fees to use internet in a cybercafe 90
0%
219 Legalization fees 199
0.1%
220 Expenses to photocopy documents 240
0.1%
221 Expenses to pick up household garbage 794
0.3%
222 Fee to launder clothing etc 736
0.2%
223 Wages for household domestics 246
0.1%
224 Transport by boat 25
0%
225 Transport in an animal powered vehicle 141
0%
226 Inter-urban transport in bus 1355
0.4%
301 Cloth for clothing:cloth fabric,cloth weaver's cloth etc. 2746
0.9%
302 Clothing for men(15 years&older):shirt,pants,jacket etc 2051
0.7%
303 Under clothes for men (15 years & older):underwear, socks,tee shirt etc. 881
0.3%
304 Clothing for women (15 years & older):dress,skirt,pants etc 1206
0.4%
305 Under clothes for women (15 years & older):underwear,slip,tee shirt 1017
0.3%
306 Children's clothing(0-14 years):clothes for baby,shirt,boys pants 2434
0.8%
307 Other articles of clothing:veils/scarves,ties,belts 1659
0.5%
308 Expenses to make and repair men's clothing:suit,pants,shirts etc 1119
0.4%
309 Expenses to make and repair women's clothing:dress,pants 1824
0.6%
310 Expenses to make and repair children's clothing 815
0.3%
311 Men's shoes 2977
1%
312 Women's shoes 3426
1.1%
313 Children's shoes 2827
0.9%
314 Shoe repair:resole,polish,etc 589
0.2%
315 Household linens and associated articles 843
0.3%
316 Crockery:plates,knives,forks,spoons etc. 855
0.3%
317 Cooking utensils:saucepan,pot,local sieve etc 857
0.3%
318 Other household utensils:bucket,kettle,baby bottle etc 1066
0.3%
319 Food,Expenses for care,Expenses for veterinary services for household pets 63
0%
320 Household tools:electric lamps,flashlight,oil lamp,tools etc. 638
0.2%
321 Material to maintain and repair the dwelling 171
0.1%
322 Labor and services for maintenance and repairs for the dwelling(clean the septic tank etc.) 160
0.1%
323 Detachable parts for the household transportation 173
0.1%
324 Small electronic materials for personal use 46
0%
325 Furniture repair (armchairs,chairs,bed,etc.) 30
0%
326 Repair of electrical equipment(iron,fridge,cooker etc.) 41
0%
327 Repair of electronic devices:radio,radio-cassetes,TV,camera etc. 95
0%
328 Sports and relaxation equipment:ball,games etc 68
0%
329 Tickets for sporting events,cinema,concert etc 14
0%
330 Other recreation services:PMU tickets,photographer services etc. 45
0%
331 Other cultural services:non-school books,comic strips etc. 79
0%
332 Personal care articles:perfume & toilette water etc 1957
0.6%
333 Lodging services:hotel rooms,etc 31
0%
334 Watches,alarm clocks 347
0.1%
335 Earrings,necklaces,bracelets,jewelry etc. 2262
0.7%
336 Other personal articles: suitcase,handbag,sunglasses,funeral articles etc. 420
0.1%
337 Other services:announcements on the radio etc 11
0%
401 Private courses 89
0%
402 Professional Training 36
0%
403 Expenses for adult courses 6
0%
404 Corrective lenses,glasses frame 0
0%
405 Hearing devices 0
0%
406 Dental prothesis 0
0%
407 Wheelchair and handicapped bike 0
0%
408 Crutches 0
0%
409 Other therapeutic devices 0
0%
410 Health insurance expenses etc 5
0%
411 Transportation insurance expenses 347
0.1%
412 Automobile/moto tax disk 322
0.1%
413 Subscription Fee to the network of water distribution 39
0%
414 Subscription fee to the network for electricity distribution 62
0%
415 Housing taxes 124
0%
416 Vehicle rental for personal use 13
0%
417 Domestic and foreign air transport 10
0%
418 Visa expenses and airport taxes 8
0%
419 Pilgrimage expenses 0
0%
420 Expenses to move house 19
0%
421 Portable phone 0
0%
422 Computer,printer etc 0
0%
423 Living room and dining room furniture 0
0%
424 Bedroom furniture 0
0%
425 Household electrical appliances 0
0%
426 Music and photo devices 0
0%
427 Personal transportation purchases 0
0%
428 Construction materials 0
0%
429 Other construction 0
0%
430 Labor & expenses for construction 0
0%
431 Expenses to acquire land or a dwelling 0
0%
432 Expenses for studies and architecture 0
0%
433 3547
1.2%
501 Preschool fees 170
0.1%
502 Primary school fees 1027
0.3%
503 Secondary school 1 fees 395
0.1%
504 Secondary school 2 fees 126
0%
505 Tertiary school fees 68
0%
506 School supplies 1550
0.5%
507 Other education fees 82
0%
511 Medical consultation 980
0.3%
512 Pharmacy 951
0.3%
513 Other health fees 2455
0.8%
514 Reproductive health 776
0.3%
521 Rent 3968
1.3%
522 Running water 586
0.2%
523 Other water expenditures 1241
0.4%
524 Electricity 1006
0.3%
525 Telephone/Internet/Cable 104
0%
641 Armchair 87
0%
642 Living room set 435
0.1%
643 chair 1696
0.6%
644 Table 1117
0.4%
645 Dining table and chairs 144
0%
646 Simple bed 1920
0.6%
647 Simple mattress 1945
0.6%
648 Bed and mattress 1962
0.6%
649 Other furniture 1031
0.3%
650 Iron 523
0.2%
651 Gas stove 133
0%
652 Oil stove 84
0%
653 Sewing machine 123
0%
654 Moulinex/Food processor 47
0%
655 Gas Cooker 140
0%
656 Improved stove 259
0.1%
657 Refrigerator/freezer 335
0.1%
658 Fan 720
0.2%
659 Air conditioner 95
0%
660 Simple radio/Radio cassette 1703
0.6%
661 Television set 823
0.3%
662 Tape player/CD/DVD 434
0.1%
663 Parabolic antenna/decoder 153
0%
664 Private car(not used for business) 141
0%
665 Motocycle 533
0.2%
666 259
0.1%
667 Camera 46
0%
668 Musical Instrument 12
0%
669 Landline Telephone 51
0%
670 Portable telephone 2128
0.7%
671 Computer 107
0%
672 Video Camera 15
0%
673 Generator 71
0%
674 Wheelbarrow 213
0.1%
701 Corn 3337
1.1%
702 Millet 6921
2.3%
703 Rice 5445
1.8%
704 Wheat flour 164
0.1%
705 Sorghum 1837
0.6%
706 Fonio 54
0%
707 Other grains 47
0%
708 Cornstarch 496
0.2%
709 Cassav Flour 3201
1%
710 Pasta 3646
1.2%
711 Bread 2491
0.8%
712 Biscuit 1459
0.5%
713 Bean fritters 2660
0.9%
714 Corn fritters 1120
0.4%
715 Cakes 1785
0.6%
716 Other pastries 91
0%
717 Salad 548
0.2%
718 Fresh Onion 5233
1.7%
719 Fresh Okra 654
0.2%
720 Fresh tomato 1635
0.5%
721 Fresh pepper 902
0.3%
722 Eggplant 424
0.1%
723 Carrot 252
0.1%
724 Green Bean 241
0.1%
725 Cucumber 314
0.1%
726 Pea 199
0.1%
727 Squash 2240
0.7%
728 Other Vegetable 514
0.2%
729 Dried tomato 2642
0.9%
730 Dry okra 4144
1.4%
731 Beans 4651
1.5%
732 Dry pea 30
0%
733 Bambara groundnut 120
0%
734 Other pulses 663
0.2%
735 Maggi cube 6957
2.3%
736 Tomato paste 3088
1%
737 Peanuts in shell 751
0.2%
738 Shelled peanuts 339
0.1%
739 Groundnut cake 2358
0.8%
740 Soumbala 5508
1.8%
741 Baobab leaves 3829
1.2%
742 Yodo 1757
0.6%
743 Other leafy vegetables 679
0.2%
744 Malahya 3228
1.1%
745 Salt 7616
2.5%
746 Pimento 5862
1.9%
747 Other spices 4423
1.4%
748 Cassava tuber 1039
0.3%
749 Yam tuber 923
0.3%
750 Potato 925
0.3%
751 Taro and cocoyam 79
0%
752 Sweet potato 1428
0.5%
753 Other tubers 10
0%
754 Mango 237
0.1%
755 Pineaple 213
0.1%
756 Orange 1206
0.4%
757 Other citrus 419
0.1%
758 Sweet banana 764
0.2%
759 Watermelon 189
0.1%
760 Dates 3130
1%
761 Sugar cane 1678
0.5%
762 Melon 115
0%
763 Palmyra/Doumier(fruit) 337
0.1%
764 Cola nut 2587
0.8%
765 Other fruits & pineaple 55
0%
766 Beef 2436
0.8%
767 Camel meat 68
0%
768 Mutton 1649
0.5%
769 Goat meat 1965
0.6%
770 Poultry 943
0.3%
771 Giblets 458
0.1%
772 Game 10
0%
773 Other meats 24
0%
774 Fresh fish 776
0.3%
775 Smoked Fish 458
0.1%
776 Stockfish 225
0.1%
777 Canned fish 194
0.1%
778 Other canned fish products 15
0%
779 Palm oil 5618
1.8%
780 Peanut oil 1284
0.4%
781 Cottonseed oil 30
0%
782 Corn oil 5
0%
783 Other oils 487
0.2%
784 Peanut butter 2048
0.7%
785 Eggs 694
0.2%
786 Fresh milk 1167
0.4%
787 Curd 3413
1.1%
788 Powdered milk 1547
0.5%
789 Cheese 113
0%
790 Butter 377
0.1%
791 Yogurt 1747
0.6%
792 Other dairy products 63
0%
793 Sugar 6486
2.1%
794 Cocoa 245
0.1%
795 Honey 65
0%
796 82
0%
797 Confectionery 19
0%
798 Other Food 454
0.1%
799 Cigarette 683
0.2%
800 Coffee in cans 413
0.1%
801 Tea bag 2710
0.9%
802 Other teas 156
0.1%
803 Fruit juice 320
0.1%
804 Juice powder 788
0.3%
805 Soft Drinks 321
0.1%
806 Mineral water 83
0%
807 Alcoholic beverages 9
0%
808 Bowl of millet with milk 1454
0.5%
809 Bowl of millet without milk 1323
0.4%
810 Preparation based on millet 1012
0.3%
811 Preparation of sorghum 311
0.1%
812 Preparions made from corn 719
0.2%
813 Other preparations 440
0.1%
814 Boiled beans 418
0.1%
815 Rice cowpea 1132
0.4%
816 Rice with baobab leaf 314
0.1%
817 Rice &tomato sauce 1059
0.3%
818 Fried rice with fish/chicken 322
0.1%
819 Rice with peanut butter sauce 363
0.1%
820 Pasta 701
0.2%
821 Other meal purchased 815
0.3%
822 Coffee hot drink 321
0.1%
823 Tea hot drink 476
0.2%
824 Non-alcholic beverages made outside the home 133
0%
825 Alcoholic beverages taken out of home 5
0%
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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