GDP dynamics
I.33
108.2
% vs previous year
−1.0
vs 2021
Section I · information and analytical product
General climate indicators
Cross-cutting indicators of the country’s climate adaptation: emissions, climate parameters, hazardous events, social vulnerability.
Climate change poses risks of degradation of strategically important infrastructure, a slowdown in GDP growth and an increase in unforeseen budget expenditure. The indicators in this section are used to construct trends in all key sectors.
- Indicators
- 43
- Official
- 19
- Combinations
- 2
- No data
- 7
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.
I-1 Simple chart
Hazardous natural phenomena and loss of human health and life
Source: Form No. 1-IK (CoES, Local authorities); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Comparing the trends makes it possible to assess the extent to which changes in the number of people affected depend on the number of hazardous natural phenomena, and to determine whether the effectiveness of adaptation measures matches the dynamics of hazardous phenomena.
I-2 Simple chart
Coverage of waste collection services and waste generation intensity
Source: Form No. 1-IK (CEP, Housing and Utilities Committee); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026
Rationale for the combination
Comparison of population coverage by waste collection and removal services with per capita generation of municipal waste.
The rationale was left blank in the report.
| Code | Indicator | Latest value | Source | 2021–2025 | vs previous year | Responsible agency |
|---|---|---|---|---|---|---|
| Drivers | ||||||
| I.1 | GHG emissions excluding LULUCF Mt CO₂e · Not specified 3 | 22.2 2024 | Official | +1.1 | Hydromet Agency, CEP | |
| I.2 | LULUCF emissions and removals kt CO₂e · Not specified 1 | −680 2024 | Test | +10 | Hydromet Agency, CEP | |
| I.3 | GHG emissions per capita t CO₂e per capita · Annually 2 | 2.18 2024 | Official | +0.10 | Hydromet Agency, CEP | |
| I.4 | Emission reductions through carbon offsets kt CO₂e · Annually 1 | no data | — | no series | — | Hydromet Agency, CEP |
| I.5 | Natural population increase thousand people · Not specified 1 | 222.4 | Test | −3.7 | Agency on Statistics | |
| I.6 | Share of urban population % · Annually | 28.8 | Official | +0.3 | Agency on Statistics | |
| I.7 | Forest area designated for production thousand ha · Annually | 425 | Official | 1 year | — | Forestry Agency |
| I.8 | Access to three basic services % · Not specified | 95.1 | Official | 1 year | — | MEWR, Housing and Utilities Committee |
| I.9 | Recovery of the affected economy % · Not specified 1 | no data | — | no series | — | CEP |
| I.10 | Air pollution with PM2.5 particles µg/m³ · Not specified 1 | 35.9 | Official | 1 year | — | CEP |
| I.11 | Public awareness of climate risks % · Not specified | 60 | Official | 1 year | — | CEP |
| Impacts | ||||||
| I.12 | Hazardous natural phenomena units · Annually 1 | 287 | Official | −23 | CoES | |
| I.13 | Government emergency reserve million somoni · Annually 1 | no data | — | no series | — | Ministry of Finance, CoES |
| I.14 | Emergency response expenditure thousand somoni · Annually 1 | 77 | Official | 1 year | — | Local authorities, CoES |
| I.15 | People affected and killed in emergencies per 100,000 per 100,000 people · Annually | 6.0 | Official | −0.6 | Local authorities, CoES | |
| I.16 | Infectious and parasitic disease incidence cases · Annually 1 | 38,007 | Official | 1 year | — | Ministry of Health |
| I.17 | Radiation-related skin diseases cases · Not specified 1 | no data | — | no series | — | Ministry of Health |
| I.18 | Extreme mean monthly temperatures °C · Monthly 1 | 32.0 | Official | −0.8 | Hydromet Agency, CEP | |
| I.19 | Fish resources t · Every 5 years | 3,240 | Test | +220 | Agency on Statistics | |
| I.20 | Mean annual temperature °C · Annually | 3.8 | Test | +0.3 | Hydromet Agency, CEP | |
| I.21 | Annual precipitation anomaly % · Seasonally | −9 | Test | −29 | Hydromet Agency, CEP | |
| I.22 | Temperature anomaly relative to the normal °C · Monthly | 1.2 | Test | +0.3 | Hydromet Agency, CEP | |
| I.23 | Days with snowfall (10-year average) days · Annually | 22.5 | Test | −0.4 | Hydromet Agency, CEP | |
| I.24 | Frequency of extreme months % · Periodically | 20.0 | Test | +5.0 | Hydromet Agency, CEP | |
| I.25 | Near-surface wind speed m/s · Monthly | 2.2 | Test | +0.1 | Hydromet Agency, CEP | |
| I.26 | Reduction in species ranges thousand ha · Every 5–10 years | 15.3 | Test | +0.7 | NAS institutes, National Biodiversity Centre, CEP | |
| I.27 | Biodiversity losses due to disasters cases · Annually | 10 | Test | −1 | CoES, CEP, National Biodiversity Centre | |
| I.28 | Selyaninov hydrothermal coefficient index · Monthly | 0.84 | Test | −0.24 | Hydromet Agency, CEP | |
| I.29 | Precipitation-evapotranspiration index SPEI-12 index · Monthly | −0.38 | Test | −0.93 | Hydromet Agency, CEP, IPE-CSIC | |
| Vulnerability | ||||||
| I.30 | Waste removal service coverage % · Annually | 23.1 | Official | +0.6 | CEP, Housing and Utilities Committee | |
| I.31 | Population with income below PPP thresholds % · Annually | 2.4 | Test | −0.3 | Agency on Statistics | |
| I.32 | Recipients of pensions and benefits thousand people · Annually | 866.6 | Official | +12.9 | Ministry of Labour, Agency on Statistics | |
| I.33 | GDP dynamics % vs previous year · Quarterly | 108.2 | Official | −0.2 | Agency on Statistics | |
| Mitigation | ||||||
| I.34 | Environmental protection investment million somoni · Annually | 120 | Official | 1 year | — | CEP |
| I.35 | GHG emissions per unit of GDP t CO₂e per USD 1,000 · Annually | 1.55 | Test | −0.10 | CEP, Agency on Statistics | |
| Adaptation | ||||||
| I.36 | Share of women in managerial positions % · Annually | 24.2 | Official | +0.5 | Agency on Statistics | |
| I.37 | Environmental publications units · Annually | 167 | Test | +9 | CEP, Agency on Statistics | |
| I.38 | Share of urban green areas % · Annually | 30 | Official | 1 year | — | Local authorities |
| I.39 | Municipal waste per capita kg per capita per year · Annually 1 | 160.6 | Official | +2.2 | Housing and Utilities Committee | |
| I.40 | Updated building codes units · Annually | 5 | Test | +1 | Committee for Architecture and Construction | |
| I.41 | Unpaid care work (SDG 5.4.1) % · Not specified 1 | no data | — | no series | — | not specified |
| I.42 | Fossil-fuel subsidies (SDG 12.c.1) % of GDP · Not specified 1 | no data | — | no series | — | not specified |
| I.43 | Local governments with DRR strategies (SDG 13.1.3) % · Not specified 1 | no data | — | no series | — | not specified |
| Agency | Indicators | With official value | Coverage | Indicator codes |
|---|---|---|---|---|
| CEP | 22 | 7 | I.1 I.2 I.3 I.4 I.9 I.10 I.11 I.18 I.20 I.21 I.22 I.23 I.24 I.25 I.26 I.27 I.28 I.29 I.30 I.34 I.35 I.37 | |
| Hydromet Agency | 13 | 3 | I.1 I.2 I.3 I.4 I.18 I.20 I.21 I.22 I.23 I.24 I.25 I.28 I.29 | |
| Agency on Statistics | 9 | 4 | I.5 I.6 I.19 I.31 I.32 I.33 I.35 I.36 I.37 | |
| CoES | 5 | 3 | I.12 I.13 I.14 I.15 I.27 | |
| Housing and Utilities Committee | 3 | 3 | I.8 I.30 I.39 | |
| Local authorities | 3 | 3 | I.14 I.15 I.38 | |
| Ministry of Health | 2 | 1 | I.16 I.17 | |
| National Biodiversity Centre | 2 | 0 | I.26 I.27 | |
| Committee for Architecture and Construction | 1 | 0 | I.40 | |
| Forestry Agency | 1 | 1 | I.7 | |
| IPE-CSIC | 1 | 0 | I.29 | |
| MEWR | 1 | 1 | I.8 | |
| Ministry of Finance | 1 | 0 | I.13 | |
| Ministry of Labour | 1 | 1 | I.32 | |
| NAS institutes | 1 | 0 | I.26 |
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.