IAP CCA Tajikistan · 2025
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Section II · information and analytical product

Water management

Water resource availability, glaciers and precipitation, damage from mudflows and floods, water supply to the population.

Climate change reduces water availability, threatening hydropower generation and irrigation, limiting the potential of the agro-industrial complex and creating risks to energy independence and food security.

Indicators
24
Official
19
Combinations
7
No data
2

Population access to water supply

II.18
67.3 %
+4.3 vs 2021
Official 2025

Level of water stress

II.6
19.0 %
+1.4 vs 2021
Official 2025

Strategic documents

Targets

  • Population access to clean drinking water — from 41% to 90%
  • Coverage by sanitation and sewerage systems — from 15% to 50%
  • Losses in drinking water supply networks — from 40–60% to 20%
  • Irrigation losses — from 50% to 35%
  • Drip and modern irrigation — from 2.5 to 100 thousand ha
  • Energy consumption of pumping stations — reduction by 20%

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.

II-2 Double chart

Water storage in reservoirs and weather factors

Source: Form No. 1-IK (Hydromet Agency, CEP); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026

Rationale for the combination

Makes it possible to assess the contribution of precipitation and temperature to the dynamics of reservoir siltation. The absence of a gap between the trends indicates a high contribution of weather factors and low effectiveness of adaptation measures.

II-3 Simple chart

People affected by mudflows and floods, and annual precipitation

Source: Form No. 1-IK (Hydromet Agency, CEP, CoES); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026

Rationale for the combination

Makes it possible to assess how the number of people affected depends on the amount of precipitation and whether the level of adaptation of territories matches the growing risks of mudflows and floods.

II-4 Simple chart

Crop yields and exposure of land to mudflows and floods

Source: Form No. 1-IK (CoES); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026

Rationale for the combination

Assesses the degree of adaptation of agricultural production to the risks of land degradation as a result of mudflows and floods: the wider the gap between the trends, the higher the degree of adaptation.

II-5 Double chart

Public water supply: access, resources and tariffs

Source: Form No. 1-IK (Housing and Utilities Committee, MEWR, Land Reclamation and Irrigation Agency); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026

Rationale for the combination

Makes it possible to analyse future water availability for households, the effectiveness and budgetary efficiency of water supply, the impact of service expansion on per capita water consumption, as well as the social and gender aspects of water distribution.

II-6 Simple chart

Water stress and glacier mass balance

Source: Form No. 1-IK (MEWR, Land Reclamation and Irrigation Agency); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026

Rationale for the combination

Determines whether the dynamics of water stress match the dynamics of glacier balance, i.e. the current and future capacity to meet it from changing glacier water reserves.

II-7 Simple chart

Water stress and natural population increase

Source: Form No. 1-IK (MEWR, Land Reclamation and Irrigation Agency); unofficial: test dataUpdated: 18.10.2026 · form of 01.09.2026

Rationale for the combination

Shows the extent to which the population’s growing demand for water is being met, which is important for analysing the effectiveness of water sector policy.

Code Indicator Latest value Source 2021–2025 vs previous year Responsible agency
Impacts 15
Vulnerability 3
Adaptation 6
AgencyIndicatorsWith official valueCoverageIndicator codes
MEWR 6 4 II.3 II.6 II.14 II.19 II.21 II.24
CEP 5 5 II.1 II.4 II.5 II.7 II.20
Housing and Utilities Committee 5 4 II.15 II.16 II.17 II.18 II.22
Land Reclamation and Irrigation Agency 5 5 II.2 II.6 II.19 II.21 II.23
CoES 4 3 II.9 II.10 II.11 II.13
Hydromet Agency 4 4 II.1 II.5 II.7 II.20
Agency on Statistics 1 0 II.8
Local authorities 1 0 II.24
Ministry of Agriculture 1 0 II.8
Water users’ associations 1 1 II.23

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.