Data for 1998
Agriculture, Forestry and Fishing Value Added per Worker, 1998
1998, as World Bank Group’s 2026 release gives it · stored as published, never rewritten
This is how much a country's farms, forests and fisheries produce for each person working in them, in constant 2015 dollars — agricultural labour productivity. It is the gap between farm and city incomes in one number, and one of the clearest measures of how far a country's agriculture has modernised.
Agriculture, Forestry and Fishing Value Added per Worker, 1998 covers 148 countries. Israel is highest, at 84,352; Mozambique is lowest, at 265. The middle country reads 3,981. Against 1997, 147 values changed (84 up, 63 down), 1 country joined.
Agriculture, Forestry and Fishing Value Added per Worker · Data for 1998
HighestIsrael
84,352LowestMozambique
265Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Agriculture, Forestry and Fishing Value Added per Worker, 1998, as published. World Bank Group ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 148 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | ISRWestern Asia | 84,352 |
| 2 | ISLNorthern Europe | 72,908 |
| 3 | CANNorthern America | 52,812 |
| 4 | LUXWestern Europe | 47,058 |
| 5 | AUSAustralia and New Zealand | 45,933 |
| 6 | SAUWestern Asia | 40,687 |
| 7 | NZLAustralia and New Zealand | 40,149 |
| 8 | SURSouth America | 40,086 |
| 9 | NLDWestern Europe | 36,147 |
| 10 | SWENorthern Europe | 34,660 |
| 11 | SGPSouth-eastern Asia | 34,643 |
| 12 | NORNorthern Europe | 33,890 |
| 13 | BRNSouth-eastern Asia | 31,856 |
| 14 | FRAWestern Europe | 31,009 |
| 15 | ITASouthern Europe | 30,471 |
| 16 | CYPWestern Asia | 29,737 |
| 17 | AREWestern Asia | 27,973 |
| 18 | DNKNorthern Europe | 27,420 |
| 19 | ESPSouthern Europe | 25,107 |
| 20 | BELWestern Europe | 25,006 |
| 21 | FINNorthern Europe | 24,581 |
| 22 | DEUWestern Europe | 24,561 |
| 23 | BHSCaribbean | 23,854 |
| 24 | BRBCaribbean | 23,631 |
| 25 | CHEWestern Europe | 23,302 |
| 26 | GBRNorthern Europe | 21,740 |
| 27 | LBNWestern Asia | 21,590 |
| 28 | URYSouth America | 19,020 |
| 29 | AUTWestern Europe | 18,087 |
| 30 | IRLNorthern Europe | 18,020 |
| 31 | JORWestern Asia | 17,505 |
| 32 | JPNEastern Asia | 15,736 |
| 33 | CZEEastern Europe | 15,711 |
| 34 | HUNEastern Europe | 14,526 |
| 35 | ARGSouth America | 12,681 |
| 36 | OMNWestern Asia | 12,390 |
| 37 | GRCSouthern Europe | 12,374 |
| 38 | MYSSouth-eastern Asia | 12,125 |
| 39 | IRQWestern Asia | 11,579 |
| 40 | MDVSouthern Asia | 11,155 |
| 41 | PSEWestern Asia | 10,925 |
| 42 | PRTSouthern Europe | 10,324 |
| 43 | GUYSouth America | 10,285 |
| 44 | KOREastern Asia | 9,673 |
| 45 | CRICentral America | 8,291 |
| 46 | SVNSouthern Europe | 8,248 |
| 47 | BGREastern Europe | 7,969 |
| 48 | QATWestern Asia | 7,812 |
| 49 | IRNSouthern Asia | 7,733 |
| 50 | ESTNorthern Europe | 7,506 |
| 51 | LCACaribbean | 7,291 |
| 52 | BLZCentral America | 7,069 |
| 53 | VCTCaribbean | 7,027 |
| 54 | MKDSouthern Europe | 6,727 |
| 55 | TONPolynesia | 6,594 |
| 56 | HRVSouthern Europe | 6,487 |
| 57 | TTOCaribbean | 5,850 |
| 58 | CHLSouth America | 5,768 |
| 59 | SWZSouthern Africa | 5,515 |
| 60 | PANCentral America | 5,282 |
| 61 | DOMCaribbean | 4,939 |
| 62 | NAMSouthern Africa | 4,907 |
| 63 | SDNNorthern Africa | 4,739 |
| 64 | TURWestern Asia | 4,734 |
| 65 | LTUNorthern Europe | 4,421 |
| 66 | MUSEastern Africa | 4,318 |
| 67 | TUNNorthern Africa | 4,299 |
| 68 | BRASouth America | 4,287 |
| 69 | RUSEastern Europe | 4,241 |
| 70 | ZAFSouthern Africa | 4,196 |
| 71 | WSMPolynesia | 4,187 |
| 72 | COLSouth America | 4,116 |
| 73 | VUTMelanesia | 4,084 |
| 74 | MRTWestern Africa | 3,982 |
| 75 | GABMiddle Africa | 3,979 |
| 76 | MEXCentral America | 3,916 |
| 77 | EGYNorthern Africa | 3,803 |
| 78 | JAMCaribbean | 3,601 |
| 79 | YEMWestern Asia | 3,447 |
| 80 | POLEastern Europe | 3,411 |
| 81 | FJIMelanesia | 3,357 |
| 82 | COMEastern Africa | 3,344 |
| 83 | UZBCentral Asia | 3,327 |
| 84 | ROUEastern Europe | 3,108 |
| 85 | LVANorthern Europe | 3,007 |
| 86 | SLVCentral America | 2,996 |
| 87 | BWASouthern Africa | 2,951 |
| 88 | SVKEastern Europe | 2,814 |
| 89 | PAKSouthern Asia | 2,685 |
| 90 | GTMCentral America | 2,652 |
| 91 | CUBCaribbean | 2,622 |
| 92 | ECUSouth America | 2,579 |
| 93 | PRYSouth America | 2,562 |
| 94 | HNDCentral America | 2,509 |
| 95 | BLREastern Europe | 2,407 |
| 96 | ALBSouthern Europe | 2,210 |
| 97 | MNGEastern Asia | 2,170 |
| 98 | PERSouth America | 2,154 |
| 99 | NICCentral America | 2,125 |
| 100 | GMBWestern Africa | 2,112 |
| 101 | NPLSouthern Asia | 2,002 |
| 102 | SRBSouthern Europe | 1,992 |
| 103 | MARNorthern Africa | 1,885 |
| 104 | PHLSouth-eastern Asia | 1,873 |
| 105 | HTICaribbean | 1,792 |
| 106 | UKREastern Europe | 1,670 |
| 107 | THASouth-eastern Asia | 1,622 |
| 108 | KAZCentral Asia | 1,621 |
| 109 | IDNSouth-eastern Asia | 1,587 |
| 110 | CPVWestern Africa | 1,573 |
| 111 | ZWEEastern Africa | 1,549 |
| 112 | MDAEastern Europe | 1,537 |
| 113 | BOLSouth America | 1,500 |
| 114 | CHNEastern Asia | 1,453 |
| 115 | LKASouthern Asia | 1,409 |
| 116 | SLEWestern Africa | 1,336 |
| 117 | KENEastern Africa | 1,299 |
| 118 | SENWestern Africa | 1,230 |
| 119 | BENWestern Africa | 1,211 |
| 120 | ARMWestern Asia | 1,157 |
| 121 | BTNSouthern Asia | 1,121 |
| 122 | MLIWestern Africa | 1,113 |
| 123 | UGAEastern Africa | 1,013 |
| 124 | INDSouthern Asia | 1,012 |
| 125 | NGAWestern Africa | 996 |
| 126 | COGMiddle Africa | 978 |
| 127 | TGOWestern Africa | 925 |
| 128 | GNBWestern Africa | 864 |
| 129 | CMRMiddle Africa | 824 |
| 130 | VNMSouth-eastern Asia | 822 |
| 131 | KGZCentral Asia | 802 |
| 132 | AZEWestern Asia | 798 |
| 133 | ZMBEastern Africa | 619 |
| 134 | KHMSouth-eastern Asia | 593 |
| 135 | TZAEastern Africa | 561 |
| 136 | BDIEastern Africa | 523 |
| 137 | BGDSouthern Asia | 474 |
| 138 | TJKCentral Asia | 468 |
| 139 | BFAWestern Africa | 458 |
| 140 | NERWestern Africa | 441 |
| 141 | MDGEastern Africa | 432 |
| 142 | MWIEastern Africa | 423 |
| 143 | ETHEastern Africa | 405 |
| 144 | RWAEastern Africa | 401 |
| 145 | GINWestern Africa | 393 |
| 146 | LSOSouthern Africa | 386 |
| 147 | CODMiddle Africa | 338 |
| 148 | MOZEastern Africa | 265 |
02In 1998
At either end
The 5 countries at each end of the headline.
Highest
- 1
Israel84,352
- 2
Iceland72,908
- 3
Canada52,812
- 4
Luxembourg47,058
- 5
Australia45,933
Lowest
- 148
Mozambique265
- 147
DR Congo338
- 146
Lesotho386
- 145
Guinea393
- 144
Rwanda401
A higher value is the better result. The middle country reads 3,981. “Shared” marks a value another country also holds.
031997 → 1998
Since 1997
- +1 / −0countries joined / left
- 147values changed, of 147 in both
- 84 · 63rose · fell
- 0unchanged
Rose most
Israel73,958 → 84,352+10,394
Belgium20,487 → 25,006+4,518
United Kingdom17,512 → 21,740+4,228
Cyprus25,690 → 29,737+4,046
Canada49,538 → 52,812+3,274
Fell most
Suriname47,216 → 40,086−7,130
Luxembourg51,799 → 47,058−4,741
Singapore39,209 → 34,643−4,565
Bulgaria10,410 → 7,969−2,441
Iceland75,316 → 72,908−2,408
04Caveats
Read before you use
One year of the 2026 release
Every year in this series comes from World Bank Group’s 2026 release, recalculated on one method, so a change from one year to the next is not a revision. It can differ from what was first published for 1998.
Nothing missing
Every one of the 148 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
148 rows · 5.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download agriculture-value-added-per-worker-1998-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
NV.AGR.EMPL.KD
What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: CC BY 4.0 · what it allows, in plain words
Cite this edition
World Bank Group (1998). Agriculture, Forestry and Fishing Value Added per Worker, 1998 [data set], describing 1998. As held by Nations Inquiry, https://nationsinquiry.com/datasets/agriculture-value-added-per-worker/1998
0635 held
Other years
‹ The year before
Agriculture, Forestry and Fishing Value Added per Worker, 1997147 countries
The year after ›
Agriculture, Forestry and Fishing Value Added per Worker, 1999149 countries
All of them
Agriculture, Forestry and Fishing Value Added per Worker: every year35 held, with the data dictionary, coverage and licence.
How it has moved, charted by country