Agricultural production growth rate
V.18
109.5
% vs previous year
+0.7
vs 2021
Section V · information and analytical product
Agriculture
Crop yields and livestock numbers, pasture condition, fertilizers, irrigation and food self-sufficiency.
Rising temperatures and changing precipitation patterns reduce crop yields and livestock productivity, threatening food security, especially for smallholder farmers.
- Indicators
- 22
- Official
- 13
- Combinations
- 10
- No data
- 2
Strategic documents
Targets
- Growth in wheat, potato and cotton production — at least 10% by 2028
- Meat production — from 143 to 450 thousand t per year
- Milk production — annual growth of up to 4.8%
- Egg production — from 231 to 670–690 million eggs
- 100% self-sufficiency in fruit and berry products by 2030
Trend combinations from the report: panels share a year axis, each with its own scale. “Index = 100” mode rebases series to the first year on a single scale. Hollow markers indicate unofficial data.
V-1 Double chart
Temperature–moisture regime and yields of key crops
Source: Form No. 1-IK (Agency on Statistics); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Wheat, potatoes and cotton are key crops for food security; their production is planned to increase by at least 10% by 2028.
V-2 Double chart
Temperature–moisture regime and livestock numbers
Source: Form No. 1-IK (Agency on Statistics, Hydromet Agency, CEP); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Meat and dairy cattle farming and poultry farming are priorities for food security: meat from 143 to 450 thousand t per year, eggs from 231 to 670–690 million.
V-3 Double chart
Temperature–moisture regime and pasture productivity
Source: Form No. 1-IK (Hydromet Agency, CEP); unofficial: calculated from form, test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Assessment of how the productivity of natural pastures depends on precipitation and temperature.
The indicator “Productivity of pasture land” from the report is missing from the form; the rationale was left blank in the report.
V-4 Double chart
Yields of key crops and fertilizer application
Source: Form No. 1-IK (Agency on Statistics); unofficial: calculated from form, test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Adaptation measures should ensure yield growth with optimal nitrogen application: with fertilizer volumes growing more slowly, remaining constant or declining.
V-5 Simple chart
Water availability for drip irrigation
Source: Form No. 1-IK (Land Reclamation and Irrigation Agency, MEWR); unofficial: calculated from form, test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
A decline in irrigation water reserves while drip-irrigated areas expand makes it possible to assess whether the introduction of water-saving technologies is keeping pace with the growing risks of water shortage (target: 100% self-sufficiency in fruit and berry products by 2030).
V-6 Simple chart
Crop losses and biodiversity losses due to natural disasters
Source: unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Makes it possible to isolate the part of agricultural production losses caused by natural and climatic factors.
V-7 Double chart
Pasture degradation and intensity of pasture use
Source: Form No. 1-IK (Agency on Statistics, Ministry of Agriculture, Local authorities); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Comparing the growth in livestock numbers with the area of degraded pastures makes it possible to assess the significance of grazing in degradation and to adjust adaptation measures.
The form does not record livestock kept on pasture separately; the total numbers of cattle, sheep and goats are used.
V-8 Simple chart
Pasture degradation and pasture productivity
Source: Form No. 1-IK (Ministry of Agriculture, Local authorities); unofficial: calculated from form, test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Adaptation measures should maintain pasture productivity while containing the growth in the area of pasture degradation and erosion.
V-9 Simple chart
Tree planting on pastures and pasture productivity
Source: unofficial: calculated from form, test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Assessment of the effectiveness of tree and shrub planting for the restoration of degraded pastures.
V-10 Simple chart
Pasture degradation and pasture users’ associations
Source: Form No. 1-IK (Ministry of Agriculture, Local authorities, Forestry Agency and others); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Makes it possible to determine the role of organized pasture management (pasture user associations) in improving pasture condition.
| Code | Indicator | Latest value | Source | 2021–2025 | vs previous year | Responsible agency |
|---|---|---|---|---|---|---|
| Drivers | ||||||
| V.1 | Mineral fertilizer application per hectare kg a.i./ha · Annually 1 | 57.5 | Calc. | +1.6 | Agency on Statistics | |
| Impacts | ||||||
| V.2 | Yield of main crops centners/ha · Annually | 33.4 | Official | +0.6 | Agency on Statistics | |
| V.3 | Livestock and poultry numbers thousand head · Annually 1 | 2,814.0 | Official | +99.0 | Agency on Statistics | |
| V.4 | Yield of crops and fruit plantations t/ha · Annually 1 | 31.48 | Official | +0.48 | Agency on Statistics | |
| V.5 | Agricultural product prices somoni/kg · Annually | 75.00 | Official | +3.00 | Agency on Statistics | |
| V.6 | Forest fire area ha · Annually 1 | 434 | Official | +59 | Forestry Agency | |
| V.7 | Pasture area thousand ha · Annually 1 | 2,837.2 | Official | −2.8 | Ministry of Agriculture, Local authorities | |
| V.8 | Degraded pastures million ha · Every 5 years | 2.85 | Official | +0.03 | Ministry of Agriculture, Local authorities | |
| V.9 | Natural pasture productivity t/ha dry matter · Twice a year | 1.16 | Calc. | −0.09 | Land Use Committee, Ministry of Agriculture | |
| V.10 | Share of agricultural exports % · Annually | 12.7 | Test | +0.6 | Ministry of Agriculture, Agency on Statistics, MEDT, Food Security Committee | |
| V.11 | Water for irrigation km³/year · Twice a year 1 | 4.58 | Official | −0.08 | Land Reclamation and Irrigation Agency, MEWR | |
| V.12 | Crop damage and loss centners/ha · Twice a year 1 | 2.6 | Test | −0.5 | CoES | |
| Adaptation | ||||||
| V.13 | Fertilizer application area thousand ha · Not specified | 503.6 | Official | +8.8 | Agency on Statistics | |
| V.14 | Pasture users’ associations units · Annually | 300 | Official | +19 | Ministry of Agriculture, Forestry Agency, CEP | |
| V.15 | Agricultural land under trees and shrubs thousand ha · Annually | 208.4 | Official | 1 year | — | Ministry of Agriculture, Forestry Agency, CEP |
| V.16 | Pastures planted with trees and shrubs thousand ha · Annually | 6.5 | Test | +0.6 | Ministry of Agriculture, Forestry Agency, CEP | |
| V.17 | Drip irrigation area thousand ha · Annually 1 | 19.85 | Calc. | +3.75 | Ministry of Agriculture, Land Reclamation and Irrigation Agency | |
| V.18 | Agricultural production growth rate % vs previous year · Not specified | 109.5 | Official | +2.6 | Ministry of Agriculture, Agency on Statistics | |
| V.19 | Self-sufficiency in agricultural products % · Not specified | 85.0 | Official | +1.4 | Ministry of Agriculture | |
| V.20 | Growth in organic production % · Not specified 1 | no data | — | no series | — | Ministry of Agriculture |
| V.21 | Share of organic products % · Not specified 1 | no data | — | no series | — | Ministry of Agriculture |
| V.22 | Share of environmentally friendly goods in exports % · Not specified | 2.2 | Test | +0.3 | Ministry of Agriculture, Agency on Statistics, Customs Service | |
Indicators from other sections used in trend combinations
| Agency | Indicators | With official value | Coverage | Indicator codes |
|---|---|---|---|---|
| Ministry of Agriculture | 13 | 6 | V.7 V.8 V.9 V.10 V.14 V.15 V.16 V.17 V.18 V.19 V.20 V.21 V.22 | |
| Agency on Statistics | 9 | 6 | V.1 V.2 V.3 V.4 V.5 V.10 V.13 V.18 V.22 | |
| Forestry Agency | 4 | 3 | V.6 V.14 V.15 V.16 | |
| CEP | 3 | 2 | V.14 V.15 V.16 | |
| Land Reclamation and Irrigation Agency | 2 | 1 | V.11 V.17 | |
| Local authorities | 2 | 2 | V.7 V.8 | |
| CoES | 1 | 0 | V.12 | |
| Customs Service | 1 | 0 | V.22 | |
| Food Security Committee | 1 | 0 | V.10 | |
| Land Use Committee | 1 | 0 | V.9 | |
| MEDT | 1 | 0 | V.10 | |
| MEWR | 1 | 1 | V.11 |
If several agencies are listed as responsible, the indicator is counted for each. According to the Guidelines, the first agency listed is responsible for entering the value.