Paddy Farmers Survey 2022
Sri Lanka, 2022
Get Microdata
Reference ID
LKA_2022_SLPFS_v01_M_v01_A_ESS
Producer(s)
Agrifood Economics and Policy Division (ESA)
Created on
Jul 02, 2025
Last modified
Jul 02, 2025
Page views
967
Downloads
2
- 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
Seed code (cb4_07)
Data file: C_plot_roster_clean_anon
Overview
Valid:
237
Invalid:
6673
Minimum:
-99
Maximum:
82
Type:
Discrete
Decimal:
2
Width:
8
Range:
-99 - 90
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | VARIETY UNKNOWN | 136 |
57.4%
|
| 1 | VARIETY KNOWN | 64 |
27%
|
| 2 | VARIETY KNOWN BUT NOT LISTED | 19 |
8%
|
| 3 | H–9 | 0 |
0%
|
| 4 | BG3-5 | 0 |
0%
|
| 5 | BG407 | 0 |
0%
|
| 6 | BG745 | 0 |
0%
|
| 7 | BG38 | 0 |
0%
|
| 8 | H-4 | 0 |
0%
|
| 9 | H–8 | 0 |
0%
|
| 10 | BG11–11 | 0 |
0%
|
| 11 | BG90–2 | 0 |
0%
|
| 12 | BG400–1 | 0 |
0%
|
| 13 | BG379–2 | 0 |
0%
|
| 14 | BG380 | 0 |
0%
|
| 15 | BG450 | 0 |
0%
|
| 16 | BG403 | 0 |
0%
|
| 17 | BW78 | 0 |
0%
|
| 18 | BW100 | 0 |
0%
|
| 19 | BW451 | 0 |
0%
|
| 20 | BW400 | 0 |
0%
|
| 21 | BW452 | 0 |
0%
|
| 22 | Bw453 | 0 |
0%
|
| 23 | Ld66 | 0 |
0%
|
| 24 | MI273 | 0 |
0%
|
| 25 | At401 | 0 |
0%
|
| 26 | At405 | 0 |
0%
|
| 27 | H-7 | 0 |
0%
|
| 28 | BG34-6 | 0 |
0%
|
| 29 | BG94-1 | 1 |
0.4%
|
| 30 | BG94-2 | 0 |
0%
|
| 31 | BG350 | 0 |
0%
|
| 32 | BG352 | 1 |
0.4%
|
| 33 | BG357 | 1 |
0.4%
|
| 34 | BG358 | 0 |
0%
|
| 35 | BG359 | 0 |
0%
|
| 36 | BG360 | 1 |
0.4%
|
| 37 | BW266-7 | 0 |
0%
|
| 38 | PCAIFIC (MAIZE) | 3 |
1.3%
|
| 39 | BHADRA | 0 |
0%
|
| 40 | RUWAN | 0 |
0%
|
| 41 | ARUNA | 0 |
0%
|
| 42 | MUTHU | 0 |
0%
|
| 43 | RANAWANA | 0 |
0%
|
| 44 | OSHADHA | 0 |
0%
|
| 45 | RAVI | 0 |
0%
|
| 46 | Pb-1 | 0 |
0%
|
| 47 | PM-13 | 0 |
0%
|
| 48 | MISB01 | 0 |
0%
|
| 49 | MI35 | 0 |
0%
|
| 50 | WAJIRA | 0 |
0%
|
| 51 | WARUNI | 0 |
0%
|
| 52 | DAHAWALA | 2 |
0.8%
|
| 53 | BOMBAY | 0 |
0%
|
| 54 | KWR | 0 |
0%
|
| 55 | RASHMI | 0 |
0%
|
| 56 | T146 | 0 |
0%
|
| 57 | RAJITHA | 0 |
0%
|
| 58 | T245 | 0 |
0%
|
| 59 | LANKASOUR(GORAKATAKKALI) | 0 |
0%
|
| 60 | THILINA | 0 |
0%
|
| 61 | MAHESHA | 0 |
0%
|
| 62 | RAVI TOMATO | 0 |
0%
|
| 63 | KC01 | 0 |
0%
|
| 64 | THARIDU | 0 |
0%
|
| 65 | ROMA | 0 |
0%
|
| 66 | BIYAN | 0 |
0%
|
| 67 | BATHIYA | 0 |
0%
|
| 68 | MI-1 | 0 |
0%
|
| 69 | GALKIRIYAGAMASELECTION | 0 |
0%
|
| 70 | MI–2 | 5 |
2.1%
|
| 71 | MIVANNIYA1 | 0 |
0%
|
| 72 | KA–2 | 0 |
0%
|
| 73 | MICH3 | 0 |
0%
|
| 74 | ARUNALU(Bl–39) | 0 |
0%
|
| 75 | MIPC-1 | 0 |
0%
|
| 76 | MI–HOT | 0 |
0%
|
| 77 | MI–GREEN | 0 |
0%
|
| 78 | MICH1–LOCALHYBRID | 0 |
0%
|
| 79 | ANJALEE(F1HYBRID) | 1 |
0.4%
|
| 80 | AMANDA(F1HYBRID)PADAGODA(BWLL) | 0 |
0%
|
| 81 | SM64 | 0 |
0%
|
| 82 | THINNAVELLIPURPLE | 3 |
1.3%
|
| 83 | HUNGARIANYELLOWWAT(HYW) | 0 |
0%
|
| 84 | CA–8 | 0 |
0%
|
| 85 | THINNAVELYWHITE | 0 |
0%
|
| 86 | MC43 | 0 |
0%
|
| 87 | ANKRUHUNU | 0 |
0%
|
| 88 | MI–5 | 0 |
0%
|
| 89 | MI–7 | 0 |
0%
|
| 90 | HARITHA | 0 |
0%
|
| Sysmiss | 6673 |
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.