Cambodia Socio-Economic Survey 1999
Cambodia, 1999
Get Microdata
Reference ID
KHM-NIS-CSES-1999-v01
Producer(s)
National Institute of Statistics
Collections
Metadata
Created on
Jan 07, 2021
Last modified
Jan 08, 2021
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- Data files
- C03_education
- C04_EcomicActivity
- C05_EcomicActivity2
- C06_Health
- C07_Housing
- C08_HouseholdFood
- C09_HouseholdNFood
- C10_HExp_Inc_LandTest
- C11_HLand_detail
- C12_HAnimal_durable
- C13_HLoans_debts
- C14_women15to49
- C15_ChildrenBornToMothers24months
- M01_Emp_earn1
- M02_Emp_earn2
- M03_Emp_earn3
- M04_HEcoActivity
- M05_ChildActivity
- M06_HFormLand
- M07_HCrops1
- M08_HCrops2
- M09_HSpend_animals
- M10_HLivestock
- M11_HFishing
- M12_HSpend_other
- M13_HSpend_forestry_hunting
- M14_HSpend_CostManufacturing
- M15_HSpend_RevenueManufacturing
- M16_HSpend_construction
- M17_HSpend_other
- M18_HTrade
- M19_HHotel
- M20_HAmount_Receiving
- M21_HCost_Nframing
- M22_HRevenue_Nframing
- M23_HPhysicalAsset_FNframing
- M24_HRemittances
- M25_HRemittances
- M26_HIncomeFromOther
- M27_HIncomeFromSelfEmp
- M28_HIncome_AnnualCons
- M29_HProblemNfarming
- V01_DemoEcoInfra
- V02_EcoInfra
- V03_Education
- V04_Education
- V05_HEALTH
- V06_FoodPrices
- V07_NFoodPrices
-
V08_MedicinePrices
- V09_DailyWageRatesAgr_NAgr
- V10_ChildRainfall_NaturalDisasters
- C01_C02Person
Item No (p9q72it)
Data file: V06_FoodPrices
Overview
Valid:
14897
Valid (weighted):
4787051.48
Invalid:
58
Invalid (weighted):
19175.314
Minimum:
1
Maximum:
50
Type:
Discrete
Decimal:
0
Start:
28
End:
29
Width:
2
Range:
1 - 50
Format:
Numeric
Weighted variable:
V1742
Questions and instructions
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 1 | Ordinary paddy(Kg) | 189 | 76932 |
1.6%
|
| 2 | Rice(kg) | 284 | 98240 |
2.1%
|
| 3 | Broken rice(Kg) | 368 | 118739 |
2.5%
|
| 4 | Corn on the cob(10 cobs) | 218 | 68392 |
1.4%
|
| 5 | Rice cakes(1 cake) | 199 | 56712 |
1.2%
|
| 6 | Fermented rice noodles(Kg) | 284 | 88086 |
1.8%
|
| 7 | White rice noodles (Kg) | 190 | 52696 |
1.1%
|
| 8 | Num Pang(Loaf) | 236 | 60212 |
1.3%
|
| 9 | Pork without fat (Kg) | 297 | 92857 |
1.9%
|
| 10 | Pork with fat(Kg) | 300 | 95736 |
2%
|
| 11 | Fresh Beef(Kg) | 270 | 81785 |
1.7%
|
| 12 | Fresh Chicken(Kg) | 240 | 78293 |
1.6%
|
| 13 | Fresh Duck(Kg) | 170 | 49615 |
1%
|
| 14 | Fresh water Mud fish(Kg) | 287 | 100836 |
2.1%
|
| 15 | Cat Fish(Andeng)(Kg) | 253 | 85020 |
1.8%
|
| 16 | Fermented/cheese fish(prohok)(Kg) | 368 | 125868 |
2.6%
|
| 17 | Dried fish(Kg) | 246 | 73420 |
1.5%
|
| 18 | Chicken egg(1egg) | 336 | 103280 |
2.2%
|
| 19 | Duck egg(1egg) | 483 | 164270 |
3.4%
|
| 20 | Peanuts(kg) | 362 | 118604 |
2.5%
|
| 21 | Mung bean(kg) | 274 | 85947 |
1.8%
|
| 22 | Soy bean(kg) | 136 | 33677 |
0.7%
|
| 23 | Mung bean sprouts(Kg) | 244 | 70931 |
1.5%
|
| 24 | Trakun (Bundle) | 398 | 141695 |
3%
|
| 25 | Cabbage (Kg) | 278 | 80125 |
1.7%
|
| 26 | Cucumber(Kg) | 387 | 133669 |
2.8%
|
| 27 | Ridge gourd(Kg) | 263 | 88031 |
1.8%
|
| 28 | Green gourd(Kg) | 335 | 115195 |
2.4%
|
| 29 | Eggplant(Kg) | 143 | 46866 |
1%
|
| 30 | Omatoes(Kg) | 250 | 75283 |
1.6%
|
| 31 | Potatoes(Kg) | 136 | 32440 |
0.7%
|
| 32 | Sweet potatoes(Kg) | 225 | 70910 |
1.5%
|
| 33 | Onions(Kg) | 222 | 56720 |
1.2%
|
| 34 | Garlic(Kg) | 379 | 124780 |
2.6%
|
| 35 | Banana(1comb) | 394 | 135151 |
2.8%
|
| 36 | Papaya(1fruit) | 290 | 94067 |
2%
|
| 37 | Lime(iece) | 390 | 127402 |
2.7%
|
| 38 | Vegetable oil(Litre) | 279 | 78100 |
1.6%
|
| 39 | Salt(Kg) | 404 | 134016 |
2.8%
|
| 40 | Fish sauce(Litre) | 366 | 116417 |
2.4%
|
| 41 | Soy sauce1(bottle) | 369 | 119156 |
2.5%
|
| 42 | Palm vinegar(Litre) | 189 | 60070 |
1.3%
|
| 43 | Glutamate/MSG1(pack) | 500 | 175140 |
3.7%
|
| 44 | Sugar(Kg) | 441 | 150351 |
3.1%
|
| 45 | Sweetened condensed milk(1can) | 358 | 113874 |
2.4%
|
| 46 | Alcohol(Bottle) | 154 | 38647 |
0.8%
|
| 47 | Rice wine(Litre) | 402 | 131974 |
2.8%
|
| 48 | Beer (Bottle) | 244 | 64036 |
1.3%
|
| 49 | Cigarettes(Packet) | 498 | 169062 |
3.5%
|
| 50 | Pipe tobacco(100gms) | 369 | 133725 |
2.8%
|
| Sysmiss | 58 | 19175 |
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.