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    Home / Central Data Catalog / LKA_2022_SLPFS_V01_M_V01_A_ESS / variable [F35]
central

Paddy Farmers Survey 2022

Sri Lanka, 2022
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Reference ID
LKA_2022_SLPFS_v01_M_v01_A_ESS
Producer(s)
Agrifood Economics and Policy Division (ESA)
Metadata
DDI/XML JSON
Study website
Created on
Jul 02, 2025
Last modified
Jul 02, 2025
Page views
772
Downloads
2
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • C_perennials_roster_clean_anon
  • C_plot_roster_clean_anon
  • C2_low_maha_fert_clean_anon
  • C2_low_yala_fert_clean_anon
  • C4_up_maha_fert_clean_anon
  • C4_up_yala_fert_clean_anon
  • D_Chem_Fert_roster_clean_anon
  • D_Org_Fert_roster_clean_anon
  • D_Org_Fert_roster_clean_anon
  • E_seed_roster_clean_anon
  • F_crop_sale_roster_clean_anon
  • F_rice_sale_roster_clean_anon
  • FO_distance_clean_anon
  • G_livestock_roster_clean_anon
  • I_disaster_roster_clean_anon
  • I_farming_roster_clean_anon
  • I_market_roster_clean_anon
  • I_weather_roster_clean_anon
  • J1_off_farm_roster_clean_anon
  • J2_cash_roster_clean_anon
  • K_loan_roster_clean_anon
  • SL2022_clean_anon
  • SL2022_FO_clean_anon
  • B_mem_roster_clean_anon

Id in I_farming_roster (I_farming_roster__id)

Data file: I_farming_roster_clean_anon

Overview

Valid: 2644
Invalid: 0
Minimum: 1
Maximum: 17
Type: Discrete
Decimal: 2
Width: 8
Range: 1 - 17
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 FERTILIZERS USE 780
29.5%
2 PEST AND DISEASE CONTROL 610
23.1%
3 NEW CULTIVATION TECHNOLOGY 177
6.7%
4 WATER AND IRRIGATION MANAGEMENT 56
2.1%
5 ORGANIC AGRICULTURE AND CONSERVATION FARMING 484
18.3%
6 SALE AND MARKETING 18
0.7%
7 CONTROL WILD ANIMAL ATTCAK 14
0.5%
8 PLANTING 289
10.9%
9 HARVESTING 100
3.8%
10 CROP VARIETY 83
3.1%
11 THE USE OF MCAHINE AND EQUIPMENT 5
0.2%
12 CROP STORAGE AND LOSS REDUCTION 3
0.1%
13 PACKAGING AND TRANSPORTATION 0
0%
14 CREDIT AND MICRO FINANCE 4
0.2%
15 SOIL AND NUTRIENT MANAGEMENT 3
0.1%
16 FARM BUDGETING/PROFIT AND COST CALCULATION 1
0%
17 OTHER (SPECIFY) 17
0.6%
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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