Romania Average Net Salary Data (Municipality Level)

Understanding local purchasing power is critical for strategic expansion, market sizing, and risk assessment. This dataset provides the average net salary bands for all Local Administrative Units (LAU 2) in Romania, encompassing cities, towns, and rural communes.

Compiled and modelled by Geolocet for 2024, the data delivers highly granular, geographically precise income range estimates across all 3179 municipalities. It features a comprehensive tabular CSV and is bundled with a ready-to-use WGS84 Shapefile polygon dataset, making it instantly structured for GIS mapping, socioeconomic analytics, and location intelligence workflows. The free sample is available for immediate download, and the full market dataset can be requested directly from our team.

Dataset Methodology:

Developed using official baseline data from the National Statistical Institute of Romania for region-level income and municipality attributes, this dataset is enhanced by Geolocet’s proprietary spatial modelling techniques. We apply robust statistical modelling to distribute and estimate income indicators consistently across rural and urban administrative units where localized reporting may be irregular. Grouping salaries into actionable income bands ensures a seamless, gap-free socioeconomic dataset that protects data integrity while maximizing analytical utility.

Data Quality Scorecard

Data Preview: Sample records from the Romania Net Salary dataset

ID	County	Municipality	Total Pop	Employed Pop	Total HH	Avg Net Salary Band (RON)
6554077	CLUJ	Cluj-Napoca	286,598	145,072	116,979	Band 07 (6000+)
20977031	CLUJ	Florești	52,735	29,256	21,010	Band 07 (6000+)
20977045	CLUJ	Apahida	17,239	8,937	5,965	Band 06 (5500-6000)
21262385	CLUJ	Dej	31,475	13,519	12,247	Band 04 (4250-4750)
29742731	CLUJ	Buza	1,138	414	446	Band 02 (3000-3750)

Note: Evaluated based on the structure of Romania Income indicators at municipality level - sample.csv. Download the free sample to view the full column alignment.

📥 Ready to verify the structure? Download the free sample instantly above, or Contact us to license the full market dataset.

Wealth Distribution Overview

Looking at the macro-level distribution of income in Romania, the highest concentrations of purchasing power remain firmly anchored around major economic hubs. The București-Ilfov region and major university/IT centers like Cluj-Napoca consistently fall into the highest income tiers (e.g., Band 07: 6000+ RON), acting as the corporate and administrative engines of the country.

Conversely, analyzing the granular municipality data reveals stark socioeconomic divides, particularly in rural communes which frequently map to lower income bands (e.g., Band 02: 3000-3750 RON). This dataset provides the precise quantitative backing required to map these disparities, making it an invaluable tool for identifying "wealth pockets" in peri-urban areas (like Florești or Baciu) that vastly outperform their broader county averages.

Custom Data & Ecosystem Bundles

To request access to the full dataset or to build a tailored ecosystem package for Romania, please reach out to our team. We offer integrated pipelines linking socioeconomic data with other geographic assets.

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Need the data in another format?

We can deliver our spatial datasets in alternative formats upon request (GeoJSON, Excel, PostgreSQL import files, etc.). Contact us at contact@geolocet.com.

Who uses this data?

• Retail Site Selection: Brands optimizing store placements by targeting areas that meet specific baseline purchasing power criteria.
• Real Estate & PropTech: Developers and investors modeling residential property demand and pricing based on the localized earning power of a community.
• Credit & Risk Analysis: Financial institutions evaluating regional economic health and default risks for lending and insurance underwriting.
• FMCG & Product Distribution: Pricing strategy teams adjusting portfolio offerings to match local financial realities.
• Public Policy & Academic Research: Urban planners and economists studying regional wealth disparities and tracking the economic impact of development programs.

Frequently Asked Questions