{"product_id":"romania-income-indicators-municipalities","title":"Romania Average Net Salary Data (Municipality Level)","description":"\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\/\",\n  \"@type\": \"Dataset\",\n  \"name\": \"Income Indicators at Municipality Level Dataset – Romania (2024)\",\n  \"description\": \"Download a comprehensive socioeconomic dataset containing average net income bands for all 3179 municipalities across Romania for 2024. Includes municipality names, population and household metrics, and net income ranges (RON) in CSV format, accompanied by a WGS84 Shapefile for GIS mapping and market research. Full dataset available upon request.\",\n  \"url\": \"https:\/\/geolocet.com\/products\/romania-average-net-salary-municipality\",\n  \"isAccessibleForFree\": false,\n  \"creator\": {\n    \"@type\": \"Organization\",\n    \"sameAs\": \"https:\/\/geolocet.com\",\n    \"name\": \"Geolocet\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"Geolocet\",\n    \"sameAs\": \"https:\/\/geolocet.com\",\n    \"url\": \"https:\/\/geolocet.com\"\n  },\n  \"dateModified\": \"2026-06-18\",\n  \"lastVerified\": \"2026-06-18\",\n  \"spatialCoverage\": {\n    \"@type\": \"Place\",\n    \"name\": \"Romania\"\n  },\n  \"size\": \"3179 administrative units (LAU 2)\",\n  \"measurementTechnique\": \"Statistical aggregation, official data integration (National Statistical Institute of Romania), spatial modelling, and standardization\",\n  \"license\": \"https:\/\/geolocet.com\/pages\/terms-of-use\",\n  \"distribution\": [\n    {\n      \"@type\": \"DataDownload\",\n      \"encodingFormat\": \"text\/csv\"\n    },\n    {\n      \"@type\": \"DataDownload\",\n      \"encodingFormat\": \"application\/zip\"\n    }\n  ],\n  \"hasPart\": {\n    \"@type\": \"Dataset\",\n    \"name\": \"Free Sample: Income Indicators Dataset – Romania\",\n    \"description\": \"A subset of the full dataset demonstrating data structure, socioeconomic indicators, and column headers available for immediate download.\",\n    \"isAccessibleForFree\": true,\n    \"distribution\": {\n      \"@type\": \"DataDownload\",\n      \"encodingFormat\": \"text\/csv\",\n      \"contentUrl\": \"https:\/\/geolocet.com\/products\/romania-average-net-salary-municipality\"\n    }\n  },\n  \"variableMeasured\": [\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"ID\",\n      \"description\": \"Unique identifier for the administrative record.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"County\",\n      \"description\": \"The county (Județ) where the municipality is located.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Municipality\",\n      \"description\": \"Official name of the municipality (Comună, Oraș, or Municipiu).\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Pop_TP\",\n      \"description\": \"Total estimated resident population.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"Pop_Empl\",\n      \"description\": \"Estimated employed population within the municipality.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"HH_Tot\",\n      \"description\": \"Total estimated number of households.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"AVG_SInc_B\",\n      \"description\": \"Categorical income band classification.\"\n    },\n    {\n      \"@type\": \"PropertyValue\",\n      \"name\": \"AVG_SIncBD\",\n      \"description\": \"Average monthly net salary range in Romanian Leu (RON).\"\n    }\n  ],\n  \"offers\": {\n    \"@type\": \"Offer\",\n    \"price\": \"150.00\",\n    \"priceCurrency\": \"EUR\",\n    \"seller\": {\n      \"@type\": \"Organization\",\n      \"sameAs\": \"https:\/\/geolocet.com\",\n      \"name\": \"Geolocet\"\n    },\n    \"description\": \"Full dataset including CSV and Shapefile available upon request. Free sample available for instant download.\"\n  },\n  \"keywords\": [\n    \"Romania\",\n    \"Net Salary\",\n    \"Income bands\",\n    \"Socioeconomic dataset\",\n    \"Purchasing power\",\n    \"Municipality data\",\n    \"Geospatial data\",\n    \"Market analytics\",\n    \"Wealth indicators\"\n  ],\n  \"alternateName\": [\n    \"Romania 2024 municipality income dataset\",\n    \"Average wages by commune Romania\",\n    \"Romanian local purchasing power data\"\n  ],\n  \"temporalCoverage\": \"2024\"\n}\n\u003c\/script\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"BreadcrumbList\",\n  \"itemListElement\": [\n    {\n      \"@type\": \"ListItem\",\n      \"position\": 1,\n      \"name\": \"Home\",\n      \"item\": \"https:\/\/geolocet.com\"\n    },\n    {\n      \"@type\": \"ListItem\",\n      \"position\": 2,\n      \"name\": \"Socioeconomic Data\",\n      \"item\": \"https:\/\/geolocet.com\/collections\/socioeconomic-data\"\n    },\n    {\n      \"@type\": \"ListItem\",\n      \"position\": 3,\n      \"name\": \"Romania\",\n      \"item\": \"https:\/\/geolocet.com\/pages\/romania\"\n    },\n    {\n      \"@type\": \"ListItem\",\n      \"position\": 4,\n      \"name\": \"Income Indicators at Municipality Level\",\n      \"item\": \"https:\/\/geolocet.com\/products\/romania-average-net-salary-municipality\"\n    }\n  ]\n}\n\u003c\/script\u003e\n\n\u003cnav aria-label=\"Page sections\" style=\"background:#f8f9fa; border:1px solid #ddd; border-radius:4px; padding:10px 14px; margin-bottom:18px;\"\u003e\u003cstrong style=\"font-size:0.85em; margin-right:10px;\"\u003eQuick links:\u003c\/strong\u003e\u003cul style=\"display:inline; list-style:none; margin:0; padding:0;\"\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#dataset-summary\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eDataset Summary\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#methodology\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eMethodology\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#download\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eDownload Sample\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#quality-scorecard\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eData Quality\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#regional-distribution\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eWealth Distribution\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#demographics-bundle\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eData Requests\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#related-datasets\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eRelated Datasets\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#use-cases\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eUse Cases\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"display:inline; margin-right:12px;\"\u003e\u003ca href=\"#faq\" style=\"font-size:0.85em; color:#2c6fad; text-decoration:none;\"\u003eFAQ\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/nav\u003e\n\n\u003cp\u003eUnderstanding local purchasing power is critical for strategic expansion, market sizing, and risk assessment. This dataset provides the \u003cstrong\u003eaverage net salary bands\u003c\/strong\u003e for all Local Administrative Units (LAU 2) in Romania, encompassing cities, towns, and rural communes.\u003c\/p\u003e\u003cp\u003eCompiled and modelled by \u003ca href=\"https:\/\/geolocet.com\" rel=\"noopener noreferrer\"\u003eGeolocet\u003c\/a\u003e for \u003cstrong\u003e2024\u003c\/strong\u003e, the data delivers highly granular, geographically precise income range estimates across all \u003cstrong\u003e3179 municipalities\u003c\/strong\u003e. 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.\u003c\/p\u003e\n\n\u003cdiv class=\"dataset-summary\"\u003e\n    \u003ch2 id=\"dataset-summary\"\u003eDataset Summary\u003c\/h2\u003e\n    \u003cul\u003e\n        \u003cli\u003e\n\u003cstrong\u003eDataset Coverage:\u003c\/strong\u003e 3179 municipalities (Comune, Orașe, Municipii) in Romania\u003c\/li\u003e\n        \u003cli\u003e\n\u003cstrong\u003eContents:\u003c\/strong\u003e Categorized average net monthly salary bands (in RON), total population, employed population, and household counts\u003c\/li\u003e\n        \u003cli\u003e\n\u003cstrong\u003eFile Formats:\u003c\/strong\u003e Analysis-ready CSV dataset (UTF-8) and WGS84 Shapefile (.shp)\u003c\/li\u003e\n        \u003cli\u003e\n\u003cstrong\u003eAccess:\u003c\/strong\u003e Free sample available for immediate download; full dataset available upon request\u003c\/li\u003e\n        \u003cli\u003e\n\u003cstrong\u003eUse Cases:\u003c\/strong\u003e Retail site selection, real estate investment, targeted marketing, and economic forecasting\u003c\/li\u003e\n        \u003cli\u003e\n\u003cstrong\u003eReference Year:\u003c\/strong\u003e 2024\u003c\/li\u003e\n        \u003cli\u003e\n\u003cstrong\u003eLast Updated \u0026amp; Verified:\u003c\/strong\u003e 18 June 2026\u003c\/li\u003e\n    \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003ch2 id=\"methodology\"\u003eDataset Methodology:\u003c\/h2\u003e\n\u003cp\u003eDeveloped using official baseline data from the \u003cstrong\u003eNational Statistical Institute of Romania\u003c\/strong\u003e 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.\u003c\/p\u003e\n\n\u003cdiv style=\"overflow: auto;\"\u003e\n\u003cdiv style=\"float: right; margin: 0 0 15px 20px; width: 45%; max-width: 560px;\"\u003e\n \n\u003c\/div\u003e\n\u003ch3\u003eDataset fields included in the CSV:\u003c\/h3\u003e\n\u003cul style=\"columns: 150px 2; margin-left: 20px;\"\u003e\n    \u003cli\u003eID\u003c\/li\u003e\n    \u003cli\u003eCounty\u003c\/li\u003e\n    \u003cli\u003eMunicipality\u003c\/li\u003e\n    \u003cli\u003ePop_TP (Total Population)\u003c\/li\u003e\n    \u003cli\u003ePop_Empl (Employed Pop.)\u003c\/li\u003e\n    \u003cli\u003eHH_Tot (Total Households)\u003c\/li\u003e\n    \u003cli\u003eAVG_SInc_B (Band Category)\u003c\/li\u003e\n    \u003cli\u003eAVG_SIncBD (Salary Range RON)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003ch2 id=\"quality-scorecard\"\u003eData Quality Scorecard\u003c\/h2\u003e\n\u003cdiv style=\"background-color: #fcfcfc; padding: 15px; border: 1px solid #ddd; border-left: 6px solid #2ecc71; border-radius: 4px; margin-bottom: 25px;\"\u003e\n\u003cul style=\"list-style-type: none; padding-left: 0; margin: 0; font-size: 0.95em; line-height: 1.6;\"\u003e\n    \u003cli\u003e\n\u003cstrong\u003eLAU 2 Coverage:\u003c\/strong\u003e 100% (All 3179 municipalities)\u003c\/li\u003e\n    \u003cli style=\"margin-bottom:10px;\"\u003e\n        \u003cspan style=\"display:inline-block; width:180px; font-size:0.9em;\"\u003eShapefile Polygons (WGS84)\u003c\/span\u003e\u003cspan style=\"display:inline-block; background:#e0e0e0; border-radius:4px; width:200px; height:10px; vertical-align:middle;\"\u003e\u003cspan style=\"display:block; background:#2ecc71; border-radius:4px; width:100%; height:10px;\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"font-size:0.85em; margin-left:8px; color:#555;\"\u003e100%\u003c\/span\u003e\n    \u003c\/li\u003e\n    \u003cli style=\"margin-bottom:10px;\"\u003e\n        \u003cspan style=\"display:inline-block; width:180px; font-size:0.9em;\"\u003eIncome Estimate Presence\u003c\/span\u003e\u003cspan style=\"display:inline-block; background:#e0e0e0; border-radius:4px; width:200px; height:10px; vertical-align:middle;\"\u003e\u003cspan style=\"display:block; background:#2ecc71; border-radius:4px; width:100%; height:10px;\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"font-size:0.85em; margin-left:8px; color:#555;\"\u003e100%\u003c\/span\u003e\n    \u003c\/li\u003e\n    \u003cli style=\"margin-bottom:10px;\"\u003e\n        \u003cspan style=\"display:inline-block; width:180px; font-size:0.9em;\"\u003eEmployment \u0026amp; Household Data\u003c\/span\u003e\u003cspan style=\"display:inline-block; background:#e0e0e0; border-radius:4px; width:200px; height:10px; vertical-align:middle;\"\u003e\u003cspan style=\"display:block; background:#2ecc71; border-radius:4px; width:100%; height:10px;\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"font-size:0.85em; margin-left:8px; color:#555;\"\u003e100%\u003c\/span\u003e\n    \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003ch2\u003eData Preview: Sample records from the Romania Net Salary dataset\u003c\/h2\u003e\n\u003ctable class=\"data-preview-table\" aria-describedby=\"table-note\"\u003e\n\u003cthead\u003e\n    \u003ctr\u003e\n        \u003cth scope=\"col\"\u003eID\u003c\/th\u003e\n        \u003cth scope=\"col\"\u003eCounty\u003c\/th\u003e\n        \u003cth scope=\"col\"\u003eMunicipality\u003c\/th\u003e\n        \u003cth scope=\"col\"\u003eTotal Pop\u003c\/th\u003e\n        \u003cth scope=\"col\"\u003eEmployed Pop\u003c\/th\u003e\n        \u003cth scope=\"col\"\u003eTotal HH\u003c\/th\u003e\n        \u003cth scope=\"col\"\u003eAvg Net Salary Band (RON)\u003c\/th\u003e\n    \u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n    \u003ctr\u003e\n        \u003ctd\u003e6554077\u003c\/td\u003e\n        \u003ctd\u003eCLUJ\u003c\/td\u003e\n        \u003ctd\u003eCluj-Napoca\u003c\/td\u003e\n        \u003ctd\u003e286,598\u003c\/td\u003e\n        \u003ctd\u003e145,072\u003c\/td\u003e\n        \u003ctd\u003e116,979\u003c\/td\u003e\n        \u003ctd\u003eBand 07 (6000+)\u003c\/td\u003e\n    \u003c\/tr\u003e\n    \u003ctr\u003e\n        \u003ctd\u003e20977031\u003c\/td\u003e\n        \u003ctd\u003eCLUJ\u003c\/td\u003e\n        \u003ctd\u003eFlorești\u003c\/td\u003e\n        \u003ctd\u003e52,735\u003c\/td\u003e\n        \u003ctd\u003e29,256\u003c\/td\u003e\n        \u003ctd\u003e21,010\u003c\/td\u003e\n        \u003ctd\u003eBand 07 (6000+)\u003c\/td\u003e\n    \u003c\/tr\u003e\n    \u003ctr\u003e\n        \u003ctd\u003e20977045\u003c\/td\u003e\n        \u003ctd\u003eCLUJ\u003c\/td\u003e\n        \u003ctd\u003eApahida\u003c\/td\u003e\n        \u003ctd\u003e17,239\u003c\/td\u003e\n        \u003ctd\u003e8,937\u003c\/td\u003e\n        \u003ctd\u003e5,965\u003c\/td\u003e\n        \u003ctd\u003eBand 06 (5500-6000)\u003c\/td\u003e\n    \u003c\/tr\u003e\n    \u003ctr\u003e\n        \u003ctd\u003e21262385\u003c\/td\u003e\n        \u003ctd\u003eCLUJ\u003c\/td\u003e\n        \u003ctd\u003eDej\u003c\/td\u003e\n        \u003ctd\u003e31,475\u003c\/td\u003e\n        \u003ctd\u003e13,519\u003c\/td\u003e\n        \u003ctd\u003e12,247\u003c\/td\u003e\n        \u003ctd\u003eBand 04 (4250-4750)\u003c\/td\u003e\n    \u003c\/tr\u003e\n    \u003ctr\u003e\n        \u003ctd\u003e29742731\u003c\/td\u003e\n        \u003ctd\u003eCLUJ\u003c\/td\u003e\n        \u003ctd\u003eBuza\u003c\/td\u003e\n        \u003ctd\u003e1,138\u003c\/td\u003e\n        \u003ctd\u003e414\u003c\/td\u003e\n        \u003ctd\u003e446\u003c\/td\u003e\n        \u003ctd\u003eBand 02 (3000-3750)\u003c\/td\u003e\n    \u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp id=\"table-note\" class=\"data-preview-note\" style=\"font-style: italic; font-size: 0.9em;\"\u003eNote: Evaluated based on the structure of Romania Income indicators at municipality level - sample.csv. Download the \u003cstrong\u003efree sample\u003c\/strong\u003e to view the full column alignment.\u003c\/p\u003e\n\n\u003cdiv style=\"background:#f8fff8; border:1px solid #c3e6cb; border-radius:6px; padding:16px 20px; margin:24px 0;\"\u003e\n\u003cp style=\"margin:0 0 10px 0; font-weight:bold; font-size:1em;\"\u003eWhy download from Geolocet?\u003c\/p\u003e\n\u003cul style=\"margin:0; padding-left:18px; font-size:0.95em; line-height:1.8;\"\u003e\n    \u003cli\u003e\n\u003cstrong\u003eFree sample first\u003c\/strong\u003e - download the sample immediately to verify methodology, structure, and fields before requesting the complete dataset\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eShapefile Included\u003c\/strong\u003e - Full geographic options bundle data seamlessly across the included WGS84 polygon file\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eAnalysis-ready CSV\u003c\/strong\u003e - clean, standardized, and perfectly prepared for QGIS, Tableau, Power BI, and PostgreSQL\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eProprietary modelling\u003c\/strong\u003e - zero missing values across rural and urban municipalities\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cp style=\"text-align:center; margin:16px 0; font-size:0.95em;\"\u003e📥 Ready to verify the structure? Download the \u003cstrong\u003efree sample\u003c\/strong\u003e instantly above, or \u003ca href=\"mailto:contact@geolocet.com\" style=\"color:#2c6fad; font-weight:bold;\"\u003eContact us\u003c\/a\u003e to license the full market dataset.\u003c\/p\u003e\n\n\u003ch2 id=\"regional-distribution\"\u003eWealth Distribution Overview\u003c\/h2\u003e\n\u003cp\u003eLooking 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.\u003c\/p\u003e\n\u003cp\u003eConversely, 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.\u003c\/p\u003e\n\n\u003ch2 id=\"demographics-bundle\" style=\"margin-bottom:12px;\"\u003eCustom Data \u0026amp; Ecosystem Bundles\u003c\/h2\u003e\n\u003cp\u003eTo 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.\u003c\/p\u003e\n\n\u003cdiv style=\"border:1px solid #2c6fad; border-left:4px solid #2c6fad; border-radius:0 6px 6px 0; padding:16px 20px; margin-bottom:12px; background:#f5f9ff;\"\u003e\n\u003cp style=\"margin:0 0 4px 0; font-size:0.8em; text-transform:uppercase; letter-spacing:0.05em; color:#2c6fad; font-weight:bold;\"\u003eSocioeconomic Bundles\u003c\/p\u003e\n\u003cp style=\"margin:0 0 8px 0; font-weight:bold; font-size:1.05em;\"\u003eRomania Demographics \u0026amp; Administrative Boundaries\u003c\/p\u003e\n\u003cp style=\"margin:0 0 12px 0; font-size:0.9em; color:#444;\"\u003eIncorporate age groups, household sizes, and education levels mapped to high-precision polygon boundaries to build holistic consumer profiles and territory segmentations alongside your income data.\u003c\/p\u003e\n\u003ca href=\"mailto:contact@geolocet.com\" style=\"display:inline-block; background:#2c6fad; color:#fff; padding:7px 14px; border-radius:4px; text-decoration:none; font-size:0.88em; font-weight:bold;\"\u003eInquire about Romania Data Packages →\u003c\/a\u003e\n\u003c\/div\u003e\n\n\u003ch2\u003eRecommended Products for Romania\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAdministrative Boundaries Datasets\u003c\/strong\u003e:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eComprehensive datasets of all available administrative boundaries in Romania.\u003c\/li\u003e\n\u003cli\u003eIdeal for detailed mapping and regional analysis.\u003c\/li\u003e\n\u003cli\u003e\u003ca rel=\"noopener\" title=\"Polygons of the administrative divisions of Romania\" href=\"https:\/\/geolocet.com\/collections\/administrative-boundaries?filter.p.vendor=Romania\" target=\"_blank\"\u003eLearn more and purchase\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eDemographics Data\u003c\/strong\u003e:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExtensive collection of demographics data for various regions in Romania.\u003c\/li\u003e\n\u003cli\u003eEssential for market research, planning, and socio-economic studies.\u003c\/li\u003e\n\u003cli\u003e\u003ca rel=\"noopener\" title=\"Demographics data for the Romania\" href=\"https:\/\/geolocet.com\/collections\/demographics-data?filter.p.vendor=Romania\" target=\"_blank\"\u003eExplore demographics data\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2 id=\"formats\"\u003eNeed the data in another format?\u003c\/h2\u003e\n\u003cp\u003eWe can deliver our spatial datasets in alternative formats upon request (GeoJSON, Excel, PostgreSQL import files, etc.). Contact us at \u003ca href=\"mailto:contact@geolocet.com\"\u003econtact@geolocet.com\u003c\/a\u003e.\u003c\/p\u003e\n\n\u003ch2 id=\"use-cases\"\u003eWho uses this data?\u003c\/h2\u003e\n\u003cul\u003e\n    \u003cli\u003e\n\u003cstrong\u003eRetail Site Selection:\u003c\/strong\u003e Brands optimizing store placements by targeting areas that meet specific baseline purchasing power criteria.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eReal Estate \u0026amp; PropTech:\u003c\/strong\u003e Developers and investors modeling residential property demand and pricing based on the localized earning power of a community.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eCredit \u0026amp; Risk Analysis:\u003c\/strong\u003e Financial institutions evaluating regional economic health and default risks for lending and insurance underwriting.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003eFMCG \u0026amp; Product Distribution:\u003c\/strong\u003e Pricing strategy teams adjusting portfolio offerings to match local financial realities.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cstrong\u003ePublic Policy \u0026amp; Academic Research:\u003c\/strong\u003e Urban planners and economists studying regional wealth disparities and tracking the economic impact of development programs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2 id=\"faq\" style=\"margin-top: 30px;\"\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdiv class=\"faq-section\"\u003e\n    \u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n        \u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Is the full dataset available for immediate download?\u003c\/p\u003e\n        \u003cp style=\"margin:0; color:#444;\"\u003eA: No. While the free sample can be downloaded instantly to verify the file structure, the full market dataset requires contacting our team directly to complete the licensing process.\u003c\/p\u003e\n    \u003c\/div\u003e\n    \u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n        \u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Does the dataset include map files?\u003c\/p\u003e\n        \u003cp style=\"margin:0; color:#444;\"\u003eA: Yes. The delivery bundle includes a WGS84 Shapefile (.shp) so you can immediately map the income data using QGIS, ArcGIS, or other spatial tools.\u003c\/p\u003e\n    \u003c\/div\u003e\n    \u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n        \u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Are both rural and urban areas included?\u003c\/p\u003e\n        \u003cp style=\"margin:0; color:#444;\"\u003eA: Yes. The dataset covers all active administrative units (Comune, Orașe, and Municipii) across Romania, ensuring 100% geographic coverage.\u003c\/p\u003e\n    \u003c\/div\u003e\n    \u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n        \u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Why does the dataset use income bands rather than exact numbers?\u003c\/p\u003e\n        \u003cp style=\"margin:0; color:#444;\"\u003eA: Income bands provide highly accurate, actionable segmentations for market analytics while accounting for statistical variations in granular rural modeling. This ensures maximum reliability for your site selection and segmentation workflows.\u003c\/p\u003e\n    \u003c\/div\u003e\n    \u003cdiv style=\"border-bottom:1px solid #eee; padding:12px 0;\"\u003e\n        \u003cp style=\"font-weight:bold; margin:0 0 6px 0;\"\u003eQ: Does the dataset use Gross or Net salary?\u003c\/p\u003e\n        \u003cp style=\"margin:0; color:#444;\"\u003eA: The dataset specifically estimates bands for Average \u003cem\u003eNet\u003c\/em\u003e Salary (take-home pay), as it is a far more accurate metric for assessing actual local purchasing power.\u003c\/p\u003e\n    \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Romania","offers":[{"title":"Free sample","offer_id":59938916073806,"sku":"romania-income-indicators-municipalities-sample","price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0727\/3853\/7806\/files\/Romania_income_bands.png?v=1781767700","url":"https:\/\/geolocet.com\/products\/romania-income-indicators-municipalities","provider":"Geolocet","version":"1.0","type":"link"}