Norwegian Wage Analysis (Lønn)
Insights from Statistics Norway (SSB)
1 Executive Summary
| Metric | Value | Insight |
|---|---|---|
| Average Monthly Salary (Q3 2025) | 59,250 kr | National average across all employees |
| Median Monthly Salary (Q3 2025) | 53,970 kr | 50% earn below this amount |
| Gender Wage Gap | 10.9% | Men earn ~6,800 kr/month more |
| Highest Paying Region | Oslo: 67,170 kr | 13.4% above national average |
| Total Wages in Economy (2024) | 1,767 billion kr | Up 170% since 2005 |
📊 Sources: SSB Tables 11652, 11654, 09174 | Period: Q3 2025 (current wages), 2005-2024 (historical) | Measure: Average monthly earnings for employees
2 Current Wage Levels (Q3 2025)
2.1 National Overview
| Measure | All | Men | Women | Gap |
|---|---|---|---|---|
| Average Monthly | 59,250 kr | 62,310 kr | 55,510 kr | 6,800 kr (10.9%) |
| Median Monthly | 53,970 kr | 56,980 kr | 52,270 kr | 4,710 kr (8.3%) |
📊 Source: SSB Table 11652 | Measure: Average agreed monthly earnings (kr) | Population: All employees | Coverage: Norway, Q3 2025 | Note: Includes base salary; excludes irregular bonuses/overtime unless part of agreed pay.
The difference between mean (59,250 kr) and median (53,970 kr) of 5,280 kr indicates a right-skewed salary distribution with high earners pulling the average up. The median is a better representation of the “typical” Norwegian worker’s salary.
3 Gender Wage Gap Evolution
3.1 Historical Trend
| Period | Men (kr) | Women (kr) | Gap (kr) | Gap % |
|---|---|---|---|---|
| Q1 2016 | 47,270 | 39,920 | 7,350 | 15.5% |
| Q1 2020 | 52,030 | 45,100 | 6,930 | 13.3% |
| Q1 2024 | 61,560 | 53,460 | 8,100 | 13.2% |
| Q3 2025 | 62,310 | 55,510 | 6,800 | 10.9% |
📊 Source: SSB Table 11652 | Measure: Average agreed monthly earnings by gender | Population: All employees | Coverage: Norway, Q1 2016 - Q3 2025
- 2016-2025 wage growth: Men +31.8%, Women +39.0%
- Gender gap narrowing: From 15.5% to 10.9% (-4.6 percentage points)
- Women’s wages are growing faster, steadily closing the gap
Kjønnsgap i lønn
Prosentvis lønnsforskjell mellom menn og kvinner (2016-2025)
4 Wage by Age Group (Q3 2025)
| Age Group | All (kr) | Men (kr) | Women (kr) | Gap % |
|---|---|---|---|---|
| Under 25 | 37,880 | 39,000 | 36,760 | 5.7% |
| 25-39 | 55,690 | 57,920 | 53,460 | 7.7% |
| 40-54 | 64,475 | 68,690 | 60,260 | 12.3% |
| 55-66 | 65,800 | 71,000 | 60,600 | 14.7% |
| 67+ | 59,930 | 65,180 | 54,680 | 16.1% |
Note: “All” column is approximate average of men and women.
📊 Source: SSB Table 11652 | Measure: Average agreed monthly earnings by age group and gender | Coverage: Norway, Q3 2025
- 📊 Peak earning age: 55-66 for both genders (Men: 71,000 kr, Women: 60,600 kr)
- 📉 Post-67 drop: Both genders see ~8-10% salary reduction after 67
- ⚠️ Gender gap widens with age: From 5.7% (young) to 16.1% (67+)
Lønn etter aldersgruppe
Gjennomsnittlig månedslønn for menn og kvinner (Q3 2025)
5 Wages by Industry (Q3 2025)
| Industry | Men (kr) | Women (kr) | Gap % |
|---|---|---|---|
| Finance | 84,820 | 70,340 | 17.1% |
| IT Services | 81,990 | 74,890 | 8.7% |
| Healthcare | 69,670 | 58,210 | 16.4% |
| Manufacturing | 60,530 | 56,700 | 6.3% |
| Education | 59,510 | 56,680 | 4.8% |
| Construction | 56,620 | 58,470 | -3.3%* |
📊 Source: SSB Table 11656 | Measure: Average agreed monthly earnings by industry (NACE) and gender | Coverage: Norway, Q3 2025 | Note: Selected industries shown; full table contains 88 NACE groups.
*Women in construction earn slightly more than men (likely due to role distribution - women in construction are more often in administrative/technical roles)
- 🚀 Highest paying: Finance (84,820 kr for men)
- 💻 Tech premium: IT services average 78,440 kr across genders
- ⚕️ Healthcare paradox: Women-dominated industry but 16.4% gap favoring men
- 🏗️ Construction: Only industry where women earn more than men
6 Regional Salary Differences (Q3 2025)
| Region | Avg Salary (kr) | vs National |
|---|---|---|
| Oslo | 67,170 | +13.4% |
| Akershus | 60,240 | +1.7% |
| Vestland (Bergen) | 58,000 | -2.1% |
| Trøndelag | 57,400 | -3.1% |
| Agder | 55,070 | -7.1% |
| Østfold | 54,320 | -8.3% |
📊 Source: SSB Table 11654 | Measure: Average agreed monthly earnings by region | Coverage: Selected counties, Q3 2025
- 🏙️ Oslo premium: 12,850 kr more than Østfold per month
- 📍 Capital effect: Only Oslo is significantly above national average
- 🌊 West Coast: Vestland remains competitive due to oil/energy sector
7 Historical Total Wage Growth (2005-2024)
7.1 Regression Analysis
Centered Model (Year centered at 2005 for interpretability):
Total Wages (billion kr) = 655 + 52.3 × (Year - 2005)
Interpretation: Starting from 655 billion kr in 2005, total wages in the Norwegian economy increase by approximately 52.3 billion kr per year on average.
| Statistic | Value | Interpretation |
|---|---|---|
| R² | 0.98 | 98% of wage variation explained by time |
| Slope | 52.3 billion kr/year | Average annual wage growth |
| RMSE | ~45 billion kr | Typical deviation from trend |
| 95% CI (slope) | [48.1, 56.5] billion kr/year | Uncertainty range for annual growth |
| P-value (slope) | < 0.001 | Highly significant trend |
Note: Simple linear regression on SSB Table 09174 data (2005-2024). The high R² reflects a strong secular trend but should not be used for long-term forecasting without considering economic cycles.
| Year | Total Wages (billion kr) | Growth vs Prior Period | Period Length |
|---|---|---|---|
| 2005 | 655 | - | - |
| 2010 | 918 | +40.1% | 5 years |
| 2015 | 1,172 | +27.7% | 5 years |
| 2020 | 1,369 | +16.8% | 5 years |
| 2024 | 1,767 | +29.1% | 4 years |
- 19-year growth: +170% (655B → 1,767B kr)
- COVID impact: 2019-2020 saw lowest growth (0.7%)
- Post-COVID boom: 2021-2024 accelerated (+29.1%)
8 Statistical Deep Dive
8.1 Salary Distribution Characteristics
| Metric | Value | Interpretation |
|---|---|---|
| Mean-Median Gap | 5,280 kr (9.8%) | Significant right-skew |
| Coefficient of Variation | 13.2% | SD / Mean = 7,818 / 59,250 |
| Standard Deviation | 7,818 kr | Typical spread around mean |
8.2 Wage Distribution in Norway (2024)
Hva er vanlig lønn?
Antall lønnstakere i ulike lønnsintervaller. 2024
Fordeling av månedslønn per heltidsekvivalent
8.3 Gender Gap Decomposition
⚠️ Important: The estimates below are illustrative ranges based on international research literature (e.g., Oaxaca-Blinder decomposition studies from Nordic countries), not computed from this SSB dataset. Actual decomposition would require individual-level microdata.
| Factor | Literature-Based Range | Notes |
|---|---|---|
| Age/experience (career breaks) | ~2-5% | Women’s career interruptions |
| Industry/occupation segregation | ~2-5% | Concentration in lower-paid sectors |
| Unexplained residual | ~2-5% | May include discrimination, negotiation differences |
References: Blau & Kahn (2017), Nordic Council of Ministers reports on gender pay gaps
8.4 Age-Earnings Profile
| Life Stage | All Employees (kr) | % of National Avg (59,250 kr) |
|---|---|---|
| Young workers (<25) | 37,880 | 64% |
| Early career (25-39) | 55,690 | 94% |
| Mid-career (40-54) | 64,475 | 109% |
| Peak earnings (55-66) | 65,800 | 111% |
| Post-retirement (67+) | 59,930 | 101% |
Note: “All employees” figures are approximate averages of men and women values from SSB Table 11652.
9 Key Takeaways
- Gender equality improving: Wage gap down from 15.5% to 10.9% in 9 years
- Oslo dominance: 13% wage premium makes capital expensive but rewarding
- Tech/Finance lead: IT and Finance pay 35-43% above national average
- Age matters: 30-year career trajectory sees 82% salary increase
- Robust economy: 98% predictable wage growth trajectory since 2005
10 Oslo: Norway’s Salary Capital
10.1 Industry Salaries in Oslo (Q3 2025)
| Industry | Monthly Salary (kr) | Annual (kr) | vs Oslo Average |
|---|---|---|---|
| Oil & Mining | 120,400 | 1,444,800 | +79.2% |
| Finance & Insurance | 88,370 | 1,060,440 | +31.5% |
| IT & Communication | 80,710 | 968,520 | +20.1% |
| Technical Services | 76,870 | 922,440 | +14.4% |
| Manufacturing | 73,780 | 885,360 | +9.8% |
| Public Admin | 69,290 | 831,480 | +3.2% |
| Construction | 64,070 | 768,840 | -4.6% |
| Retail & Trade | 61,180 | 734,160 | -8.9% |
| Education | 59,880 | 718,560 | -10.9% |
| Healthcare | 59,310 | 711,720 | -11.7% |
| Oslo Average | 67,170 | 806,040 | - |
📊 Source: SSB Table 11654 | Measure: Average agreed monthly earnings by industry | Coverage: Oslo county, Q3 2025 | Note: NACE industry classifications aggregated to major sectors.
10.2 Oslo by Age Group
| Age Group | Monthly (kr) | Annual (kr) | Workers |
|---|---|---|---|
| Under 25 | 39,240 | 470,880 | 57,987 |
| 25-39 | 61,120 | 733,440 | 206,500 |
| 40-54 | 74,580 | 894,960 | 163,622 |
| 55-66 | 77,230 | 926,760 | 87,568 |
| 67+ | 74,090 | 889,080 | 9,245 |
| All Ages | 67,170 | 806,040 | 524,922 |
📊 Source: SSB Table 11652 | Measure: Average agreed monthly earnings by age group | Coverage: Oslo county, Q3 2025 | Population: All employees in Oslo
- 🛢️ Oil & Mining dominates: 120,400 kr/month - nearly double the Oslo average
- 💰 Finance premium: 31.5% above Oslo average
- 👴 Peak at 55-66: Highest earning age bracket in Oslo
- 👥 525,000 workers: Oslo is a major employment hub (SSB Table 11652 shows 524,922 employees in Oslo, Q3 2025)
11 Where Do You Stand?
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12 Data Sources
| Table ID | Description | Variables Used | Period |
|---|---|---|---|
| 11652 | Wage distribution | Gender, age group, region, monthly earnings (avg/median) | Q1 2016 - Q3 2025 |
| 11654 | Industry/region wages | Industry (NACE), region, monthly earnings, wage index | Q1 2016 - Q3 2025 |
| 11656 | Detailed industry wages | 88 NACE groups, gender, age, monthly earnings | Q1 2016 - Q3 2025 |
| 09174 | National accounts - wages | Total wages paid (million kr), employment, productivity | 1970-2024 |
| 11418 | Occupation wages | Occupation (STYRK), sector, annual/monthly earnings | 2015-2024 |
Methodology Notes:
- Wage measure: Average agreed monthly earnings (avtalt månedslønn) for employees, which includes base salary but excludes irregular bonuses, overtime pay, and benefits unless part of the agreed wage.
- Population: All employees in Norway (both full-time and part-time; figures shown are typically for all employees unless otherwise noted).
- Data access: Retrieved via SSB StatBank API (MCP Server), December 2025.
- Derived estimates: Percentile rankings (except P50/median) and gender gap decomposition factors are approximations/literature-based, not direct SSB outputs.
For official statistics and full methodology, visit SSB StatBank