Kazakhstan Economic Risk Dashboard

Macroeconomic monitoring & independent forecasting · updated 19 August 2026

Actual data — Trading Economics / NBK / Bureau of National StatisticsAI Forecast — independent model estimate (not an official forecast)

Kazakhstan Economic Risk

32.0/ 100

Low Risk (20–40)

0 very low100 very high

Composite index computed from five macro indicators with fixed, published weights. Independent model estimate — not an official assessment. Data as of 19 August 2026.

Contribution by factor (weight × sub-score)

  • Inflation risk 25% · 10.2% CPIscore 42+10.6 pts
  • Currency risk 25% · -14.2% KZT/USD (12m)score 0+0.0 pts
  • GDP growth risk 20% · 4.1% real growthscore 21+4.2 pts
  • Unemployment risk 10% · 4.5% unemployedscore 18+1.8 pts
  • Interest-rate risk 20% · 16.75% base ratescore 77+15.4 pts

Key indicators — select a card to inspect

Inflation (CPI, year-on-year)

Source: Trading Economics / Bureau of National Statistics · Frequency: Monthly · Unit: % · Last updated: August 2026 (July 2026 print)

Actual · July 2026

10.2 %

Previous · June 2026

10.3 %

Actual data AI forecast

AI Forecast — independent model estimate

Horizon: 5 months (Aug – Dec 2026)

PeriodForecastRangevs current
Aug 2610.1 %9.7 – 10.5-0.1
Sep 2610.0 %9.6 – 10.4-0.2
Oct 269.8 %9.3 – 10.3-0.4
Nov 269.6 %9.1 – 10.2-0.6
Dec 269.5 %9.0 – 10.2-0.7

What drives it: The forecast assumes continued gradual disinflation, a relatively tight monetary stance (real base rate around +6pp), stable food prices and no major external inflation shock. Momentum in the last three prints has been roughly -0.15pp per month, and the model extrapolates a slightly slowing version of that path. Regulated utility tariffs and services inflation are the main reasons the descent is modelled as slow rather than sharp.

External / official forecast (for comparison)

Trading Economics consensus

10.5% next print, ~10.3% end-2026, ~9.5% in 2027

Role in the risk index

CPI above 10% is more than triple the 5% target band midpoint, so inflation remains the largest single contributor to the risk index.

Open the source series →

Kazakhstan Economic Risk — 2015–2026

Same weighted methodology applied to annual actual data (CPI, real GDP growth, KZT/USD change, unemployment, base rate).

Current (2026)

32.0

2026 · Low Risk

1 year ago

35.6

2025 · Low Risk

5 years ago

25.5

2021 · Low Risk

10 years ago

32.3

2016 · Low Risk

Risk changed by -36.3 points over the selected period (20152026).

Kazakhstan Economic Risk Forecast

AI Forecast — independent model estimate. The same weighting is applied to the forecast values of all five indicators.

Current risk score

32.0

Low Risk

3 months (Nov 2026)

28.4

-3.6 pts · Low Risk

6 months (Feb 2027)

27.5

-4.5 pts · Low Risk

12 months (Aug 2027)

32.7

+0.7 pts · Low Risk

Risk is expected to decline moderately over the next 6 months (-4.5 points), mainly because inflation is projected to ease from 10.2% toward ~9.1% and monetary policy may gradually loosen toward a 15.75% base rate. Working against that improvement: the model expects mild tenge depreciation, which raises the currency-risk component and partly offsets the inflation and interest-rate gains.

Actual vs AI Forecast — model performance

Every published forecast is stored and compared with the value that is later released. Errors are in the indicator's own units (percentage points, or tenge for KZT/USD). Pending periods have no actual release yet and are marked unavailable.

Inflation

MAE 0.13 pp · RMSE 0.13 pp · n=4

PeriodAI forecastActualError
Apr 2611.211.1+0.1 pp
May 2610.910.7+0.2 pp
Jun 2610.410.3+0.1 pp
Jul 2610.110.2-0.1 pp
Aug 2610.1unavailable

GDP Growth

MAE 0.40 pp · RMSE 0.42 pp · n=3

PeriodAI forecastActualError
20244.64.8-0.2 pp
20255.56.0-0.5 pp
H1 264.64.1+0.5 pp
20264.9unavailable

KZT/USD

MAE 4.75 ₸ · RMSE 5.02 ₸ · n=4

PeriodAI forecastActualError
May 26480474+6 ₸
Jun 26476471+5 ₸
Jul 26472470+2 ₸
Aug 26468462+6 ₸
Sep 26465unavailable

Unemployment

MAE 0.02 pp · RMSE 0.05 pp · n=4

PeriodAI forecastActualError
Q3 254.64.60.0 pp
Q4 254.64.5+0.1 pp
Q1 264.54.50.0 pp
Q2 264.54.50.0 pp
Sep 264.5unavailable

Base Rate

MAE 0.17 pp · RMSE 0.20 pp · n=3

PeriodAI forecastActualError
Apr 2617.7517.50+0.25 pp
Jun 2617.2517.00+0.25 pp
Aug 2616.7516.750.00 pp
Oct 2616.50unavailable

Methodology

The risk index is fully transparent and reproducible. Each indicator is converted to a 0–100 sub-score by linear normalisation between a "benign" and a "stressed" reference level, then combined with fixed weights. Sub-scores are clipped to the 0–100 interval, so extreme readings cannot dominate the index without limit.

sub_score = clip( (value − benign) / (stressed − benign) × 100 , 0 , 100 )
risk_index = 0.25·inflation + 0.25·currency + 0.20·gdp + 0.10·unemployment + 0.20·base_rate
ComponentWeightNormalisationCurrent inputSub-scoreContribution
Inflation risk25%3% CPI = 0 risk, 20% CPI = 100 risk10.2% CPI42.4+10.6
Currency risk25%-5% (appreciation) = 0 risk, +30% depreciation = 100 risk-14.2% KZT/USD (12m)0.0+0.0
GDP growth risk20%+6% real growth = 0 risk, -3% recession = 100 risk4.1% real growth21.1+4.2
Unemployment risk10%3.5% = 0 risk, 9% = 100 risk4.5% unemployed18.2+1.8
Interest-rate risk20%6% policy rate = 0 risk, 20% = 100 risk16.75% base rate76.8+15.4

How each component affects the score

  • Inflation risk: High consumer-price inflation erodes real incomes and forces tighter policy.
  • Currency risk: Measured as 12-month change in KZT/USD. Rapid depreciation imports inflation and stresses FX debt.
  • GDP growth risk: Weak or negative real growth signals falling activity, revenue and employment.
  • Unemployment risk: Labour-market slack; small weight because the Kazakh rate is stable and slow-moving.
  • Interest-rate risk: A high policy rate restricts credit and investment and raises debt-service cost.

Forecasting method

  • Current implementation: a transparent statistical baseline — momentum extrapolation of the recent trend, damped toward a long-run anchor, with cross-indicator rules (inflation → base rate → FX) and judgement-based scenario bounds for the published ranges.
  • Planned models: Linear Regression, Random Forest, XGBoost and ARIMA/SARIMAX estimated on the full historical series, with rolling-origin backtesting; the model with the lowest out-of-sample MAE/RMSE per indicator becomes the published forecast.
  • Evaluation: every forecast vintage is stored, then scored against the released value using MAE and RMSE (see the model performance section), so improvement over time is measurable rather than claimed.
  • Separation of sources: actual data, external/official forecasts and this project's independent forecast are stored and displayed as three distinct series — external consensus is never relabelled as an AI forecast.

Data sources

  • Inflation Trading Economics / Bureau of National Statistics · Monthly · updated August 2026 (July 2026 print)
  • GDP Growth Trading Economics / Bureau of National Statistics · Quarterly · updated August 2026 (Q2 2026 estimate)
  • KZT/USD Trading Economics market data / National Bank of Kazakhstan · Daily · updated 19 August 2026
  • Unemployment Trading Economics / Bureau of National Statistics · Quarterly · updated August 2026 (Q2 2026)
  • Base Rate Trading Economics / National Bank of Kazakhstan · Per meeting · updated August 2026

Limitations

  • The index is a weighted composite, not a probability of crisis; weights are a modelling choice and are shown so that they can be challenged or re-estimated.
  • Fiscal balance, current account, oil price, external debt and bank-sector indicators are not yet included, so commodity and external-financing risk is only captured indirectly.
  • Exchange-rate forecasts have the widest uncertainty of all five indicators; point values should be read together with their ranges.
  • Annual history uses period-average/period-end conventions per indicator; where a value is not published it is marked unavailable and never interpolated.
  • The headline unemployment rate excludes informal employment and underemployment, which understates true labour-market slack in Kazakhstan.

About the project

This project analyzes Kazakhstan's macroeconomic conditions and estimates how economic risk changes over time using historical economic indicators and independent forecasting models.

It tracks five indicators — inflation, real GDP growth, the KZT/USD exchange rate, unemployment and the National Bank base rate — combines them into a transparent 0–100 Economic Risk Index, reconstructs that index back to 2015, projects it forward, and then scores its own forecasts against the data that is later released.

Scope
5 indicators · annual risk history 2015–2026 · 3/6/12-month forward risk path · rolling forecast-error log
Data
Trading Economics country pages, National Bank of Kazakhstan, Bureau of National Statistics
Status
Student research / data-science project. Forecasts are independent model estimates, not official government or central-bank projections.