Zambia Post Harvest Supplemental Survey 2004
Zambia, 2004
Get Microdata
Reference ID
zam-zcso-zphss-2004-v1
Producer(s)
Zambian Central Statistics Office (Agriculture and Environment Department), Zambian Ministry of Agriculture, Food and Fisheries (Policy and Planning Branch)
Collections
Created on
Jul 11, 2013
Last modified
May 09, 2020
Page views
126986
Downloads
2612
- Data files
- adults_addit04
- adults04
- allsurid04
- asset04
- bus_activ04
- cassava04
- child04
- crop04
- fertacq04
- field04
- food_pay04
- gg_foodaid04
- hh04
- id04
- livestock04
- milk_egg_fish04
- prevdeaths04
- prod_maize04
- purch04
- remit04
- salwage04
- service04
- sold_stocks04
- veg_fruit04
- crop_prices_04
- cropconv04
- fertilizer_costs_kgs
- foodaid_prices_04
- foodaidconv
- ha_conver
- livestock_price_04
- livprod_price04
- purcconv
- purch_prices_04
- seedconv
- adult_equivalents_2004
- crop_income_sales_ss02
-
hh_fertilizer_costs_kgs_all
variables_ss02 - hh_fertilizer_costs_kgs_ss02
- hh_level_crop_detail_calories_ss02
- income_gross_net_observed_ss02
- land_variables_ss02
- livestock_income_ss02
- off_farm_income_ss02
- productive_assets_ss02
District (dist)
Data file: prevdeaths04
Overview
Valid:
905
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
2
End:
4
Width:
3
Range:
101 - 907
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 22 |
2.4%
|
| 102 | Kabwe Urban | 5 |
0.6%
|
| 103 | Kapiri Mposhi | 28 |
3.1%
|
| 104 | Mkushi | 9 |
1%
|
| 105 | Mumbwa | 27 |
3%
|
| 106 | Serenje | 14 |
1.5%
|
| 201 | Chililabombwe | 8 |
0.9%
|
| 202 | Chingola | 2 |
0.2%
|
| 203 | Kalulushi | 2 |
0.2%
|
| 204 | Kitwe | 1 |
0.1%
|
| 205 | Luanshya | 6 |
0.7%
|
| 206 | Lufwanyama | 14 |
1.5%
|
| 207 | Masaiti | 4 |
0.4%
|
| 208 | Mpongwe | 6 |
0.7%
|
| 209 | Mufulira | 9 |
1%
|
| 210 | Ndola Urban | 0 |
0%
|
| 301 | Chadiza | 15 |
1.7%
|
| 302 | Chama | 15 |
1.7%
|
| 303 | Chipata | 51 |
5.6%
|
| 304 | Katete | 35 |
3.9%
|
| 305 | Lundazi | 39 |
4.3%
|
| 306 | Mambwe | 8 |
0.9%
|
| 307 | Nyimba | 8 |
0.9%
|
| 308 | Petauke | 50 |
5.5%
|
| 401 | Chienge | 3 |
0.3%
|
| 402 | Kawambwa | 15 |
1.7%
|
| 403 | Mansa | 20 |
2.2%
|
| 404 | Milenge | 3 |
0.3%
|
| 405 | Mwense | 23 |
2.5%
|
| 406 | Nchelenge | 5 |
0.6%
|
| 407 | Samfya | 22 |
2.4%
|
| 501 | Chongwe | 15 |
1.7%
|
| 502 | Kafue | 15 |
1.7%
|
| 503 | Luangwa | 6 |
0.7%
|
| 504 | Lusaka Urban | 0 |
0%
|
| 601 | Chilubi | 11 |
1.2%
|
| 602 | Chinsali | 11 |
1.2%
|
| 603 | Isoka | 18 |
2%
|
| 604 | Kaputa | 8 |
0.9%
|
| 605 | Kasama | 10 |
1.1%
|
| 606 | Luwingu | 12 |
1.3%
|
| 607 | Mbala | 18 |
2%
|
| 608 | Mpika | 21 |
2.3%
|
| 609 | Mporokoso | 11 |
1.2%
|
| 610 | Mpulungu | 4 |
0.4%
|
| 611 | Mungwi | 11 |
1.2%
|
| 612 | Nakonde | 5 |
0.6%
|
| 701 | Chavuma | 10 |
1.1%
|
| 702 | Kabompo | 4 |
0.4%
|
| 703 | Kasempa | 4 |
0.4%
|
| 704 | Mufumbwe | 2 |
0.2%
|
| 705 | Mwinilunga | 3 |
0.3%
|
| 706 | Solwezi | 11 |
1.2%
|
| 707 | Zambezi | 2 |
0.2%
|
| 801 | Choma | 19 |
2.1%
|
| 802 | Gwembe | 5 |
0.6%
|
| 803 | Itezhi-tezhi | 13 |
1.4%
|
| 804 | Kalomo | 14 |
1.5%
|
| 805 | Kazungula | 9 |
1%
|
| 806 | Livingstone | 9 |
1%
|
| 807 | Mazabuka | 16 |
1.8%
|
| 808 | Monze | 21 |
2.3%
|
| 809 | Namwala | 14 |
1.5%
|
| 810 | Siavonga | 1 |
0.1%
|
| 811 | Sinazongwe | 7 |
0.8%
|
| 901 | Kalabo | 14 |
1.5%
|
| 902 | Kaoma | 14 |
1.5%
|
| 903 | Lukulu | 4 |
0.4%
|
| 904 | Mongu | 31 |
3.4%
|
| 905 | Senanga | 17 |
1.9%
|
| 906 | Sesheke | 14 |
1.5%
|
| 907 | Shangombo | 2 |
0.2%
|
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.