The National Statistical Institute (NSI) is a state institution in Bulgaria that collects, processes and disseminates official statistical information on social, economic and demographic processes in the country. The NSI's activities are aimed at providing objective and reliable data that support informed decision-making by the state, business and society. The Institute works in accordance with international statistical standards and is an active participant in the European Statistical System.
| Contact | |
|---|---|
| Contact organisation | National Statistical Institute |
| Contact organisation unit | Agricultural and Forestry Accounts and Prices Department |
| Contact name | Zornitsa Ivanova Angelina Malamova |
| Contact person function | Head of Department State Expert |
| Contact mail address | 2, P.Volov Str., 1527 Sofia, Bulgaria |
| Contact email address |
|
| Contact phone number |
+359 2 9857-646 +359 2 9857-193
|
| Contact fax number | - |
| Metadata update | |
| Metadata last certified | 05 January 2026 |
| Metadata last posted | 05 January 2026 |
| Metadata last update | 05 January 2026 |
| Statistical presentation | |
| Data description |
The data are compiled in accordance with Regulation (EU) 2022/2379 of the European Parliament and of the Council on statistics on agricultural input and output, Implementing Regulation (EU) 2023/1579 laying down rules for the application of Regulation (EU) 2022/2379 of the European Parliament and of the Council on statistics on agricultural input and output , and the Handbook on Agricultural Land Prices and Rents. From 2010 to 2024 inclusive, data on rental price of agricultural land have been collected through a survey covering two main groups of respondents:
As of 2025, the respondent survey has been discontinued, and data on the area and the rental price per unit area agricultural land are obtained from administrative source – the Register of Lease Agreements maintained by the Ministry of Agriculture and Food. |
| Classification system |
|
| Sector coverage | The rental prices of contracts with agricultural land on the territory of the Republic of Bulgaria for a given calendar year. |
| Statistical concepts and definitions | 1. Definition of the rental price of agricultural land Rents correspond to payments made to the owner of land in return for him making assets available to another physical person/legal entity. In practice, this means the actual rent price agreed upon by the transactors including the value of related levies/taxes and including payments in kind valuated at the current year price. No distinction is made taking into consideration the duration of the renting contract/agreement and the time for contracting. Therefore, all rents for land (even if the land is rented for more than one year) should be taken into account for the calculation of average rent. The rental price of agricultural land should:
2. Observed land use categories
|
| Statistical unit | A contract for leases/rentals of agricultural land, registered in the relevant Municipal Agriculture Office. |
| Statistical population | It includes all registered cotracts for leases/rentals of agricultural land in the territory of the country during the respective reference year for which valid data on price and area are available. |
| Reference area | The geographical coverage of the survey includes the entire territory of the Republic of Bulgaria. The data are based on all registered contracts for leases/rentals with agricultural land recorded in the information system of the Registry Agency, regardless of the location of the property. The statistical results are published:
Where applicable, the data may also be presented by municipalities, subject to compliance with statistical confidentiality requirements. |
| Time coverage | The data from 2010 onwards |
| Base period | Not applicable. |
| Unit of measure | |
Euro per 1 decar leased agricultural land | |
| Reference period | |
Calendar year. | |
| Institutional mandate | |
| Legal acts and other agreements |
|
| Data sharing | Not applicable |
| Confidentiality | |
| Confidentiality - policy |
http://eurlex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:087:0164:0173:EN:PDF |
| Confidentiality - data treatment | Individual data shall not be published, observing art. 25 of the Law on Statistics. The dissemination of individual data is made only under Art. 26 of the Law on Statistics. Problems with the confidentiality of data arise at lower geographic levels and for smaller categories of land, where in some cases there are separate transactions or renting of agricultural land. In this case, the data is aggregated at the higher geographic level. |
| Release policy | |
| Release calendar | The schedule for dissemination of statistical information on agricultural land prices and rents is published in the Release Calendar presenting the results of the statistical surveys carried out by the NSI. |
| Release calendar access | The Calendar is available on the NSI website: https://nsi.bg/en/calendar |
| User access | Data are published in compliance with the Chapter 5 of the Law on Statistics and European Statistics Code of Practice, considering professional independence and with aim of impartiality and transparency, where all users are treated equal. |
| Frequency of dissemination | |
Annual. | |
| Accessibility and clarity | |
| News release | The press releases are published regularly on the NSI website in the year following the reference period in Bulgarian and English, together with the dissemination of the data. The press release can be accessed at https://nsi.bg/en/press-release/prices-of-agricultural-land-and-rents-8189 |
| Publications | The data are published regularly on the NSI website in the year following the observation period in Bulgarian and English in the domain Statistical data/Agriculture and Forestry/Agriculture. |
| On-line database | Data are available in IS INFOSTAT and acces was given through the NSI website: https://infostat.nsi.bg/infostat/pages/external/login.jsf |
| Micro-data access | Not applicable. |
| Other | Not applicable. |
| Documentation on methodology |
|
| Quality documentation | Quality report is not available. |
| Quality management | |
| Quality assurance | All data are checked for completeness and compliance with the relevant statistical concepts and definitions. |
| Quality assessment | The quality of the price data is monitored regularly in accordance with the framework set out in the Handbook on Agricultural Land Prices and Rents and in line with the quality definition of the European Statistical System. |
| Relevance | |
| User needs | The main user of data is the Ministry of Agriculture and Food. Data are also provided to the business and to citizens. |
| User satisfaction | No information available |
| Completeness | All required data sets, including data at regional level are reported to Eurostat. |
| Accuracy and reliability | |
| Overall accuracy | Overall accuracy is not assessed. Compliance with the accuracy of the source data is ensured through the evaluation of the methodological reliability of the price data sources and adherence to the methodological requirements. |
| Sampling error | Not applicable. As of 2025, the average rental prices of agricultural land are calculated on the basis of data obtained from an administrative data source that covers all rental contracts. |
| Non-sampling error | Non-sampling errors are not quantified. The National Statistical Institute makes efforts to reduce non-sampling errors by continuously improving the methodology and data validation methods. |
| Timeliness and punctuality | |
| Timeliness | Data from the Survey on agricultural land prices and rents in agriculture are published according to the Release Calendar of the results of NSI statistical surveys. Data were first published on 24.04.2017. |
| Punctuality | No delays have been made with regard to deadlines for sending Eurostat data and to timetable in the Release Calendar of the results of statistical surveys conducted by the NSI. |
| Coherence and comparability | |
| Comparability - geographical | Data on average prices are prepared at national and regional levels and are based on harmonized definitions and classifications set out in a series of regulatory documents, which is why they can be considered comparable with other EU member states. |
| Comparability - over time | Since the initial calculation of the average prices of agricultural land until the present, the methodology has been continuously developed and improved; therefore, a break in the time series is present as of 2025.
|
| Coherence - cross domain | Not observed |
| Coherence - internal | The internal coherence of data is ensured by using the same definitions, classifications, and methods of observation. |
| Cost and burden | |
The budget (financial resources) needed for the implementation of survey is published in the National Statistical Program on the NSI website. | |
| Data revision | |
| Data revision - policy | According to the established policy, data revisions are made when the methodology, the classifications and definitions used are changed. |
| Data revision - practice | Regular revisions are carried out when the latest data from the Farm Structure Survey are available. The Integrated Farm Statistics Surveys are carried out over a certain period of time (usually three years). Land data are used as weights for weighing agricultural land prices and rents. |
| Statistical processing | |
| Source data | As of 2025, the data sources used for the calculation of the average prices for rental/lease of agricultural land are administrative data on concluded lease contracts, which are received from the Ministry of Agriculture and Food. |
| Frequency of data collection | Annual. |
| Data collection | From 2025 onwards, prices of contracts for leases/rentals of agricultural land are collected from the Register of lease agreements from Ministry of Agriculture and Food. Data from the Ministry of Agriculture and Food is received annually. Data from rom the Ministry of Agriculture and Food provide information on the value of contracts of leases/rentals of agricultural land and also include:
The records contain information on:
Until 2024, data collection was offline, using an electronic questionnaire in Excel format with logical controls, which was sent to respondents by email. |
| Data validation | The checks include rules for the automatic verification of land prices and areas. Price limits (minimum and maximum levels) are defined, calculated based on the prices from the previous year. Automatic control is performed, which involves identifying:
Extreme values are flagged, and the corresponding records are removed. |
| Data compilation | The R programming language was used for data processing and analysis. The process includes the verification and creation of a national database, as well as data tabulation (automatic generation of tables containing aggregated data with weighted average prices across the observed categories of agricultural land and geographic levels). The aggregation of data at national level is in accordance with the Common methodology for agricultural land prices and rents in agriculture. At the territorial level "municipality" (LAU2) the average price of contracts of leases/rentals for the respective category of agricultural land is calculated as an weighted average with the respective areas specified in the contracts. At NUTS3 level (district), NUTS2 level (statistical region), NUTS1 level (statistical zone) and NUTS0 (national level) the average price for the respective land use category was calculated as average weighted value. For the land transactions as weight the area of arable land and of permanents grassland were used. The size of areas (weights) are regularly updated once the data from the last Farm Structure Survey were released.
|
| Adjustment | Not applicable. |
| Comment | |
- | |
The National Statistical Institute (NSI) is a state institution in Bulgaria that collects, processes and disseminates official statistical information on social, economic and demographic processes in the country. The NSI's activities are aimed at providing objective and reliable data that support informed decision-making by the state, business and society. The Institute works in accordance with international statistical standards and is an active participant in the European Statistical System.



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