UN Post Adjustment VS Actual Cost of Living 2026
A country-by-country comparison of UN professional post-adjustment multipliers against real-world cost-of-living data — designed to surface duty stations where the UN uplift looks unusually generous or surprisingly thin relative to what you actually pay to live there.
This guide is an invaluable resource for UN job applicants deciding where they would like to work: choosing a duty station with a high post adjustment and a comparatively low cost of living means you keep more of your salary and build savings faster — one of the most tangible financial benefits of a UN career. Current UN staff can use the same logic when evaluating a move to a different duty station and maximising their take-home.
TL;DR
In the current overlap set, the average professional post adjustment is 40.1%, while the average cost of living plus rent score is 29.7. We flag countries as over-adjusted when post adjustment exceeds the including-rent index by at least 15 points, and as under-adjusted when it falls 10 points or more below that index.
What this comparison does well
Good for directional screening
If a country shows a very high UN uplift but a much lower cost-of-living-plus-rent score, it is a strong hint that the duty station deserves a closer manual review. This is especially useful when evaluating relocation attractiveness or comparing assignments.
Not an audit of ICSC methodology
UN post adjustment is duty-station specific and not purely a cost-of-living statistic. The table uses country-level Numbeo averages via World Population Review, so it should be read as an editorial comparison layer rather than an official compensation verdict.
Countries with the biggest positive gaps
Countries with the biggest negative gaps
What a large positive gap actually means for your wallet
The gap number is abstract on its own. These three duty-station examples use real PA multipliers from the ICSC tables and real country cost-of-living data to show the practical effect on a mid-career P-3 officer (net base salary ≈ $73,000/year before post adjustment).
Russia (Moscow) — gap +43.9 pts
Moscow prices — including rent — sit at roughly 16% of New York City levels. A restaurant meal that costs $20 in Manhattan runs around $3–5 in central Moscow. A decent one-bedroom apartment that would cost $3,500/month in Midtown can be had in Moscow for $400–700/month (2025 market). Groceries, public transport, and utilities follow a similar pattern.
At a total net of $116,600/year and local living costs only a fraction of what those dollars represent in New York, many UN staff in Moscow report saving 50–60% of their net salary. That is not a lifestyle concession — the city has world-class cultural infrastructure, international schools, and a full expat ecosystem.
Note: The PA gap here is partly a legacy of 1990s rate-setting and a weak rouble. The uplift has not fully deflated in line with normalised Moscow rents. From a pure financial standpoint, Moscow is the single strongest value duty station in the current ICSC data.
Bangladesh (Dhaka) — gap +28.9 pts
Dhaka has one of the lowest cost-of-living indices in the world at 12.7 (including rent). The UN has an enormous footprint here — UNDP, UNICEF, WHO, WFP, and several other agencies all maintain substantial country offices — so the professional environment is strong. Expat-grade housing (gated compounds, international school access) costs a fraction of equivalent accommodation in Western cities.
A P-3 earning ~$103,400 in Dhaka, spending conservatively on expat living (perhaps $25,000–$35,000/year including good housing and international schooling for one child), would save $65,000–$75,000 per year — typically impossible on an equivalent professional salary in a high-CoL city.
Mexico (Mexico City) — gap +27.1 pts
Mexico City is a major regional hub for UNDP, UN Women, UNEP, and ECLAC. At a CoL of 25.4, the city sits at roughly a quarter of New York's price level including rent — yet the lifestyle on offer is genuinely metropolitan: internationally recognised dining, good international schools in Polanco and Santa Fe, and reliable intra-city connectivity. Rent for a comfortable 2-bedroom apartment in an expat-friendly neighbourhood runs $900–$1,400/month.
With a total net of ~$111,300 and comfortable annual expenditure of $35,000–$45,000, a P-3 in Mexico City has a realistic path to saving $65,000–$75,000 per year. Mexico City is also notable for its quality of life dividend: the cultural scene, climate, and food make it one of the most popular duty stations on the UN circuit.
Interactive comparison table
Gap = UN post adjustment minus cost of living plus rent. Positive values indicate a larger UN uplift than the national cost index suggests.
CoL excl. rent = Numbeo's consumer-price index without housing. Rent = Numbeo's rent index. CoL incl. rent= Numbeo's combined cost-of-living-plus-rent index.
| Country | Post adj. | CoL excl. rent | Rent | CoL incl. rent | Gap | Status |
|---|---|---|---|---|---|---|
Russia RU · RUS | +59.7% | 22.3 | 7.5 | 15.8 | +43.9 | Over-adjusted |
Ivory Coast CI · CIV | +65.3% | 38.8 | 14.5 | 28.0 | +37.3 | Over-adjusted |
Malaysia MY · MYS | +52.5% | 29.7 | 13.6 | 20.1 | +32.4 | Over-adjusted |
China CN · CHN | +52.9% | 30.7 | 11.6 | 22.2 | +30.7 | Over-adjusted |
Nigeria NG · NGA | +54.4% | 26.4 | 21.8 | 24.4 | +30.0 | Over-adjusted |
Hong Kong HK · HKG | +95.2% | 73.6 | 55.7 | 65.7 | +29.5 | Over-adjusted |
Algeria DZ · DZA | +44.6% | 24.5 | 3.4 | 15.2 | +29.4 | Over-adjusted |
Bangladesh BD · BGD | +41.6% | 20.9 | 2.4 | 12.7 | +28.9 | Over-adjusted |
Colombia CO · COL | +46.6% | 26.0 | 8.1 | 18.1 | +28.5 | Over-adjusted |
Ghana GH · GHA | +50.4% | 30.6 | 12.1 | 22.4 | +28.0 | Over-adjusted |
Mexico MX · MEX | +52.5% | 34.5 | 14.1 | 25.4 | +27.1 | Over-adjusted |
Belarus BY · BLR | +44.5% | 25.0 | 8.7 | 17.8 | +26.7 | Over-adjusted |
Denmark DK · DNK | +74.6% | 66.9 | 25.7 | 48.6 | +26.0 | Over-adjusted |
Afghanistan AF · AFG | +37.4% | 19.9 | 2.0 | 12.0 | +25.4 | Over-adjusted |
Hungary HU · HUN | +50.2% | 36.6 | 11.1 | 25.3 | +24.9 | Over-adjusted |
Lebanon LB · LBN | +52.3% | 38.8 | 13.6 | 27.7 | +24.6 | Over-adjusted |
Pakistan PK · PAK | +34.6% | 17.8 | 2.9 | 11.2 | +23.4 | Over-adjusted |
Cuba CU · CUB | +50.2% | 40.8 | 11.6 | 27.9 | +22.3 | Over-adjusted |
Israel IL · ISR | +69.6% | 65.2 | 27.1 | 48.3 | +21.3 | Over-adjusted |
Kenya KE · KEN | +39.6% | 28.2 | 7.6 | 19.1 | +20.5 | Over-adjusted |
Venezuela VE · VEN | +42.7% | 35.9 | 5.8 | 22.6 | +20.1 | Over-adjusted |
Saudi Arabia SA · SAU | +48.3% | 41.9 | 11.5 | 28.4 | +19.9 | Over-adjusted |
Kuwait KW · KWT | +51.7% | 40.4 | 21.9 | 32.2 | +19.5 | Over-adjusted |
Czechia CZ · CZE | +50.7% | 42.6 | 17.6 | 31.5 | +19.2 | Over-adjusted |
Turkey TR · TUR | +43.8% | 34.7 | 12.8 | 25.0 | +18.8 | Over-adjusted |
Libya LY · LBY | +30.9% | 18.6 | 3.9 | 12.1 | +18.8 | Over-adjusted |
Somalia SO · SOM | +41.7% | 38.7 | 3.5 | 23.1 | +18.6 | Over-adjusted |
Philippines PH · PHL | +36.8% | 28.8 | 6.9 | 19.1 | +17.7 | Over-adjusted |
United States US · USA | +71.9% | 64.9 | 40.9 | 54.3 | +17.6 | Over-adjusted |
Belize BZ · BLZ | +45.6% | 41.4 | 11.6 | 28.2 | +17.4 | Over-adjusted |
India IN · IND | +30.5% | 19.5 | 5.0 | 13.1 | +17.4 | Over-adjusted |
Latvia LV · LVA | +45.4% | 43.4 | 10.0 | 28.6 | +16.8 | Over-adjusted |
Uzbekistan UZ · UZB | +35.6% | 24.2 | 12.0 | 18.8 | +16.8 | Over-adjusted |
Kazakhstan KZ · KAZ | +35.9% | 26.6 | 10.5 | 19.4 | +16.5 | Over-adjusted |
Zimbabwe ZW · ZWE | +38.9% | 34.7 | 8.5 | 23.1 | +15.8 | Over-adjusted |
Switzerland CH · CHE | +90.5% | 98.4 | 45.2 | 74.8 | +15.7 | Over-adjusted |
Palestine PS · PSE | +41.1% | 39.5 | 7.8 | 25.5 | +15.6 | Over-adjusted |
Germany DE · DEU | +57.9% | 58.4 | 22.4 | 42.4 | +15.5 | Over-adjusted |
Zambia ZM · ZMB | +38.5% | 33.8 | 9.8 | 23.1 | +15.4 | Over-adjusted |
Uganda UG · UGA | +33.5% | 26.0 | 8.5 | 18.2 | +15.3 | Over-adjusted |
Tanzania TZ · TZA | +35.4% | 31.8 | 8.8 | 21.6 | +13.8 | Close |
Madagascar MG · MDG | +27.3% | 20.7 | 10.0 | 13.5 | +13.8 | Close |
Estonia EE · EST | +47.5% | 49.4 | 14.1 | 33.8 | +13.7 | Close |
Argentina AR · ARG | +37.7% | 35.7 | 9.9 | 24.3 | +13.4 | Close |
Egypt EG · EGY | +25.1% | 19.0 | 3.5 | 12.2 | +12.9 | Close |
Ethiopia ET · ETH | +43.8% | 43.2 | 15.7 | 31.0 | +12.8 | Close |
Namibia NA · NAM | +34.0% | 29.3 | 11.4 | 21.4 | +12.6 | Close |
Cameroon CM · CMR | +40.3% | 36.2 | 17.2 | 27.8 | +12.5 | Close |
Azerbaijan AZ · AZE | +32.9% | 29.5 | 9.0 | 20.4 | +12.5 | Close |
Bulgaria BG · BGR | +36.4% | 35.4 | 10.1 | 24.2 | +12.2 | Close |
Peru PE · PER | +32.7% | 29.4 | 9.2 | 20.5 | +12.2 | Close |
Morocco MA · MAR | +30.5% | 27.2 | 7.1 | 18.3 | +12.2 | Close |
Indonesia ID · IDN | +29.2% | 24.6 | 7.7 | 17.1 | +12.1 | Close |
Barbados BB · BRB | +59.5% | 70.0 | 20.1 | 47.9 | +11.6 | Close |
Mongolia MN · MNG | +34.9% | 30.6 | 14.3 | 23.4 | +11.5 | Close |
Bolivia BO · BOL | +29.2% | 25.2 | 6.1 | 17.7 | +11.5 | Close |
Iran IR · IRN | +28.4% | 23.6 | 8.5 | 16.9 | +11.5 | Close |
Brazil BR · BRA | +28.8% | 25.6 | 15.2 | 17.4 | +11.4 | Close |
Paraguay PY · PRY | +28.0% | 23.0 | 8.6 | 16.6 | +11.4 | Close |
Moldova MD · MDA | +34.0% | 30.8 | 12.6 | 22.7 | +11.3 | Close |
Slovenia SI · SVN | +45.2% | 46.2 | 18.9 | 34.1 | +11.1 | Close |
Jordan JO · JOR | +35.2% | 37.2 | 7.7 | 24.1 | +11.1 | Close |
Thailand TH · THA | +34.8% | 33.7 | 11.9 | 24.1 | +10.7 | Close |
Fiji FJ · FJI | +35.5% | 32.0 | 15.6 | 24.8 | +10.7 | Close |
Croatia HR · HRV | +40.8% | 43.2 | 14.5 | 30.5 | +10.3 | Close |
Poland PL · POL | +39.1% | 38.9 | 16.1 | 28.8 | +10.3 | Close |
France FR · FRA | +51.0% | 58.0 | 19.4 | 41.0 | +10.0 | Close |
North Macedonia MK · MKD | +29.8% | 30.3 | 6.8 | 19.9 | +9.9 | Close |
Slovakia SK · SVK | +39.5% | 42.1 | 14.1 | 29.7 | +9.8 | Close |
Rwanda RW · RWA | +32.4% | 34.6 | 8.2 | 22.9 | +9.5 | Close |
Iraq IQ · IRQ | +27.7% | 26.9 | 7.3 | 18.2 | +9.5 | Close |
Ukraine UA · UKR | +26.2% | 24.6 | 7.8 | 17.1 | +9.1 | Close |
Sri Lanka LK · LKA | +30.5% | 33.5 | 6.3 | 21.5 | +9.0 | Close |
Uruguay UY · URY | +40.1% | 46.3 | 12.5 | 31.3 | +8.8 | Close |
Kyrgyzstan KG · KGZ | +27.7% | 25.4 | 10.8 | 18.9 | +8.8 | Close |
Chile CL · CHL | +33.0% | 35.1 | 10.6 | 24.3 | +8.7 | Close |
Austria AT · AUT | +52.1% | 60.7 | 22.0 | 43.6 | +8.5 | Close |
United Arab Emirates AE · ARE | +55.9% | 54.1 | 39.7 | 47.8 | +8.1 | Close |
Canada CA · CAN | +54.0% | 58.7 | 30.3 | 46.1 | +7.9 | Close |
Albania AL · ALB | +35.3% | 39.9 | 11.7 | 27.4 | +7.9 | Close |
Sweden SE · SWE | +46.2% | 54.2 | 19.1 | 38.7 | +7.5 | Close |
Tunisia TN · TUN | +23.6% | 25.5 | 4.6 | 16.3 | +7.3 | Close |
Nepal NP · NPL | +21.3% | 23.0 | 3.0 | 14.1 | +7.2 | Close |
Jamaica JM · JAM | +42.5% | 50.3 | 17.7 | 35.9 | +6.6 | Close |
Dominican Republic DO · DOM | +30.1% | 34.3 | 9.8 | 23.5 | +6.6 | Close |
Belgium BE · BEL | +46.6% | 56.5 | 19.3 | 40.1 | +6.5 | Close |
Honduras HN · HND | +30.0% | 34.6 | 10.2 | 23.8 | +6.2 | Close |
Greece GR · GRC | +36.9% | 46.5 | 11.8 | 31.1 | +5.8 | Close |
Mauritius MU · MUS | +29.9% | 35.6 | 42.2 | 24.1 | +5.8 | Close |
South Africa ZA · ZAF | +27.1% | 30.0 | 11.1 | 21.6 | +5.5 | Close |
Lithuania LT · LTU | +35.8% | 44.0 | 14.4 | 30.9 | +4.9 | Close |
South Korea KR · KOR | +42.8% | 56.5 | 15.1 | 38.2 | +4.6 | Close |
Guatemala GT · GTM | +30.7% | 36.8 | 12.6 | 26.1 | +4.6 | Close |
Finland FI · FIN | +44.6% | 58.7 | 19.1 | 41.1 | +3.5 | Close |
Cambodia KH · KHM | +26.3% | 33.9 | 9.4 | 23.0 | +3.3 | Close |
Armenia AM · ARM | +33.1% | 39.6 | 17.6 | 29.9 | +3.2 | Close |
Ireland IE · IRL | +53.7% | 59.8 | 39.0 | 50.6 | +3.1 | Close |
Georgia GE · GEO | +25.7% | 30.4 | 12.8 | 22.6 | +3.1 | Close |
Qatar QA · QAT | +44.6% | 47.5 | 34.4 | 41.7 | +2.9 | Close |
Ecuador EC · ECU | +22.9% | 30.0 | 8.0 | 20.3 | +2.6 | Close |
Mozambique MZ · MOZ | +30.0% | 38.9 | 13.2 | 27.5 | +2.5 | Close |
Maldives MV · MDV | +37.4% | 45.3 | 3.9 | 35.0 | +2.4 | Close |
Vietnam VN · VNM | +21.3% | 26.6 | 9.2 | 18.9 | +2.4 | Close |
El Salvador SV · SLV | +30.1% | 37.9 | 15.6 | 28.0 | +2.1 | Close |
Macau MO · MAC | +46.4% | 56.8 | 10.8 | 44.6 | +1.8 | Close |
Norway NO · NOR | +50.1% | 69.0 | 24.8 | 49.4 | +0.7 | Close |
Oman OM · OMN | +27.9% | 39.8 | 12.0 | 27.5 | +0.4 | Close |
Bahamas BS · BHS | +65.3% | 81.4 | 46.9 | 66.1 | -0.8 | Close |
Netherlands NL · NLD | +46.8% | 60.5 | 32.1 | 47.9 | -1.1 | Close |
Malta MT · MLT | +35.9% | 48.0 | 14.4 | 37.1 | -1.2 | Close |
New Zealand NZ · NZL | +39.4% | 55.3 | 23.4 | 41.2 | -1.8 | Close |
Costa Rica CR · CRI | +34.3% | 50.1 | 18.5 | 36.1 | -1.8 | Close |
Syria SY · SYR | +12.2% | 23.3 | 3.5 | 14.5 | -2.3 | Close |
Botswana BW · BWA | +22.0% | 39.5 | 7.2 | 24.5 | -2.5 | Close |
Spain ES · ESP | +30.5% | 43.5 | 21.2 | 33.6 | -3.1 | Close |
Japan JP · JPN | +28.4% | 45.6 | 14.1 | 31.6 | -3.2 | Close |
Panama PA · PAN | +31.1% | 43.9 | 22.5 | 34.4 | -3.3 | Close |
Bahrain BH · BHR | +32.1% | 48.3 | 20.4 | 36.0 | -3.9 | Close |
Luxembourg LU · LUX | +49.7% | 64.8 | 42.2 | 54.8 | -5.1 | Close |
Cyprus CY · CYP | +32.9% | 49.5 | 24.0 | 38.2 | -5.3 | Close |
Singapore SG · SGP | +67.7% | 79.1 | 67.0 | 73.7 | -6.0 | Close |
Australia AU · AUS | +40.6% | 60.9 | 29.8 | 47.1 | -6.5 | Close |
Papua New Guinea PG · PNG | +45.9% | 67.4 | 36.6 | 53.7 | -7.8 | Close |
Yemen YE · YEM | +21.8% | 48.4 | 5.9 | 29.6 | -7.8 | Close |
Puerto Rico PR · PRI | +30.1% | 58.7 | 19.9 | 41.5 | -11.4 | Under-adjusted |
Italy IT · ITA | +22.3% | 51.0 | 17.7 | 36.3 | -14.0 | Under-adjusted |
Portugal PT · PRT | +16.3% | 41.2 | 22.2 | 32.8 | -16.5 | Under-adjusted |
Iceland IS · ISL | +41.9% | 83.4 | 43.7 | 65.9 | -24.0 | Under-adjusted |
Directional comparison only: post adjustment is duty-station based; the cost-of-living figures here are country-level averages from Numbeo via World Population Review.
Why can CoL incl. rent be lower than CoL excl. rent? Because Numbeo's plus-rent figure is a weighted composite index, not a sum. If a country's rent index is lower than its non-rent consumer-price index, the combined figure lands between them and can therefore be lower than CoL excl. rent.
Methodology
- UN post-adjustment multipliers come from the local ICSC XML file already used by the salary subsystem.
- Cost-of-living figures come from the generated country JSON sourced from World Population Review / Numbeo.
- The headline gap uses cost of living plus rent because housing often dominates relocation economics.
- Rows without both post-adjustment and cost-of-living data are excluded from the main comparison set.
Source snapshot: World Population Review · scraped 24/05/2026 · dataset year 2025.
Explore the salary tools next
Use the salary calculator and country salary pages to move from these directional comparisons to grade-by-grade UN pay estimates.