In 2024, the total population of Serbia was estimated at approximately 6.58 million people. Between 1999 and 2024, the figure dropped by around 960 thousand people, though the decline followed an uneven course rather than a steady trajectory. The forecast shows the total population will steadily decline by about 290 thousand people from 2024 to 2030.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

The total population in Serbia was estimated at 6.6 million people in 2025, according to the latest census figures and projections from Trading Economics. This dataset provides - Serbia Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Serbia RS: Population: Total data was reported at 7,022,268.000 Person in 2017. This records a decrease from the previous number of 7,058,322.000 Person for 2016. Serbia RS: Population: Total data is updated yearly, averaging 7,471,874.000 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 7,734,639.000 Person in 1994 and a record low of 7,022,268.000 Person in 2017. Serbia RS: Population: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Serbia – Table RS.World Bank: Population and Urbanization Statistics. Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Sum; Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.

Serbia RS: Number of Births data was reported at 49,007.000 Person in 2050. This records a decrease from the previous number of 49,300.000 Person for 2049. Serbia RS: Number of Births data is updated yearly, averaging 64,801.500 Person from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 108,003.000 Person in 1983 and a record low of 49,007.000 Person in 2050. Serbia RS: Number of Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Serbia – Table RS.US Census Bureau: Demographic Projection.

Geographic coverage

National

Analysis unit

• Households
• Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

The population for LSMS consists of Republic of Serbia residents, excluding Kosovo and Metohija . The sampling frame for the LSMS was based on the Enumeration District (ED) delineated for the 2002 Serbia Census, excluding those with less than 20 households. It is estimated that the households in the excluded EDs only represent about 1 percent of the population of Serbia.

The sampling frame also excludes the population living in group quarters, institutions and temporary housing units, as well as the homeless population: these groups also represent less than 1 percent of the population, so the sampling frame should cover at least 98 percent of the Serbian population.

Stratification was done in the same way as for the previous LSMSs. Enumeration District werestratified according to: - Region in 6 strata (Vojvodina, Belgrade, West Serbia, Sumadija and Pomoravlj e, East Serbia and South East Serbia). - Type of settlement (urban and other).

The allocation of EDs according to region and type of settlement was propoI1ionai to the number of occupied dwellings, adjusted to provide sufficient precision of estimates at the regional level. To provide optimal sample sizes in each region we decided that the minimum number of allocated EDs to each stratum should be 60. The result of this procedure was a slight deviation from strictly proportional allocation.

The sample size for LSMS 2007 was 71 40 households from 510 selected EDs. Within each ED 14 occupied dwellings were selected. From each selected occupied dwellings one household was selected (using a Kish Grid). The sample size was determined according with the aim of achieving 5,000 household interviews with an expected non-response rate of around 30%. The final response rate was 78%, producing a sample size of 5,557 households.

Mode of data collection

Face-to-face [f2f]

Response rate

Response rate was 78%.

Serbia RS: Birth Rate: Crude: per 1000 People data was reported at 9.200 Ratio in 2016. This records a decrease from the previous number of 9.300 Ratio for 2015. Serbia RS: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 9.600 Ratio from Dec 1991 (Median) to 2016, with 23 observations. The data reached an all-time high of 11.900 Ratio in 1991 and a record low of 9.100 Ratio in 2011. Serbia RS: Birth Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Serbia – Table RS.World Bank.WDI: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

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Serbia RS: Population Projection: Mid Year data was reported at 5,869,146.000 Person in 2050. This records a decrease from the previous number of 5,911,299.000 Person for 2049. Serbia RS: Population Projection: Mid Year data is updated yearly, averaging 7,078,110.000 Person from Jun 1950 (Median) to 2050, with 101 observations. The data reached an all-time high of 7,786,397.000 Person in 1990 and a record low of 5,869,146.000 Person in 2050. Serbia RS: Population Projection: Mid Year data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Serbia – Table RS.US Census Bureau: Demographic Projection.

Database contains data regarding population, households and dwellings (sex, age, nationality, the structure of the flat, arable land area...)

Abstract

The study included four separate surveys:

1. The LSMS survey of general population of Serbia in 2002

2. The survey of Family Income Support (MOP in Serbian) recipients in 2002 These two datasets are published together separately from the 2003 datasets.

3. The LSMS survey of general population of Serbia in 2003 (panel survey)

4. The survey of Roma from Roma settlements in 2003 These two datasets are published together.

Objectives

LSMS represents multi-topical study of household living standard and is based on international experience in designing and conducting this type of research. The basic survey was carried out in 2002 on a representative sample of households in Serbia (without Kosovo and Metohija). Its goal was to establish a poverty profile according to the comprehensive data on welfare of households and to identify vulnerable groups. Also its aim was to assess the targeting of safety net programs by collecting detailed information from individuals on participation in specific government social programs. This study was used as the basic document in developing Poverty Reduction Strategy (PRS) in Serbia which was adopted by the Government of the Republic of Serbia in October 2003.

The survey was repeated in 2003 on a panel sample (the households which participated in 2002 survey were re-interviewed).

Analysis of the take-up and profile of the population in 2003 was the first step towards formulating the system of monitoring in the Poverty Reduction Strategy (PRS). The survey was conducted in accordance with the same methodological principles used in 2002 survey, with necessary changes referring only to the content of certain modules and the reduction in sample size. The aim of the repeated survey was to obtain panel data to enable monitoring of the change in the living standard within a period of one year, thus indicating whether there had been a decrease or increase in poverty in Serbia in the course of 2003. [Note: Panel data are the data obtained on the sample of households which participated in the both surveys. These data made possible tracking of living standard of the same persons in the period of one year.]

Along with these two comprehensive surveys, conducted on national and regional representative samples which were to give a picture of the general population, there were also two surveys with particular emphasis on vulnerable groups. In 2002, it was the survey of living standard of Family Income Support recipients with an aim to validate this state supported program of social welfare. In 2003 the survey of Roma from Roma settlements was conducted. Since all present experiences indicated that this was one of the most vulnerable groups on the territory of Serbia and Montenegro, but with no ample research of poverty of Roma population made, the aim of the survey was to compare poverty of this group with poverty of basic population and to establish which categories of Roma population were at the greatest risk of poverty in 2003. However, it is necessary to stress that the LSMS of the Roma population comprised potentially most imperilled Roma, while the Roma integrated in the main population were not included in this study.

Geographic coverage

The surveys were conducted on the whole territory of Serbia (without Kosovo and Metohija).

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample frame for both surveys of general population (LSMS) in 2002 and 2003 consisted of all permanent residents of Serbia, without the population of Kosovo and Metohija, according to definition of permanently resident population contained in UN Recommendations for Population Censuses, which were applied in 2002 Census of Population in the Republic of Serbia. Therefore, permanent residents were all persons living in the territory Serbia longer than one year, with the exception of diplomatic and consular staff.

The sample frame for the survey of Family Income Support recipients included all current recipients of this program on the territory of Serbia based on the official list of recipients given by Ministry of Social affairs.

The definition of the Roma population from Roma settlements was faced with obstacles since precise data on the total number of Roma population in Serbia are not available. According to the last population Census from 2002 there were 108,000 Roma citizens, but the data from the Census are thought to significantly underestimate the total number of the Roma population. However, since no other more precise data were available, this number was taken as the basis for estimate on Roma population from Roma settlements. According to the 2002 Census, settlements with at least 7% of the total population who declared itself as belonging to Roma nationality were selected. A total of 83% or 90,000 self-declared Roma lived in the settlements that were defined in this way and this number was taken as the sample frame for Roma from Roma settlements.

Planned sample: In 2002 the planned size of the sample of general population included 6.500 households. The sample was both nationally and regionally representative (representative on each individual stratum). In 2003 the planned panel sample size was 3.000 households. In order to preserve the representative quality of the sample, we kept every other census block unit of the large sample realized in 2002. This way we kept the identical allocation by strata. In selected census block unit, the same households were interviewed as in the basic survey in 2002. The planned sample of Family Income Support recipients in 2002 and Roma from Roma settlements in 2003 was 500 households for each group.

Sample type: In both national surveys the implemented sample was a two-stage stratified sample. Units of the first stage were enumeration districts, and units of the second stage were the households. In the basic 2002 survey, enumeration districts were selected with probability proportional to number of households, so that the enumeration districts with bigger number of households have a higher probability of selection. In the repeated survey in 2003, first-stage units (census block units) were selected from the basic sample obtained in 2002 by including only even numbered census block units. In practice this meant that every second census block unit from the previous survey was included in the sample. In each selected enumeration district the same households interviewed in the previous round were included and interviewed. On finishing the survey in 2003 the cases were merged both on the level of households and members.

Stratification: Municipalities are stratified into the following six territorial strata: Vojvodina, Belgrade, Western Serbia, Central Serbia (Šumadija and Pomoravlje), Eastern Serbia and South-east Serbia. Primary units of selection are further stratified into enumeration districts which belong to urban type of settlements and enumeration districts which belong to rural type of settlement.

The sample of Family Income Support recipients represented the cases chosen randomly from the official list of recipients provided by Ministry of Social Affairs. The sample of Roma from Roma settlements was, as in the national survey, a two-staged stratified sample, but the units in the first stage were settlements where Roma population was represented in the percentage over 7%, and the units of the second stage were Roma households. Settlements are stratified in three territorial strata: Vojvodina, Beograd and Central Serbia.

Mode of data collection

Face-to-face [f2f]

Research instrument

In all surveys the same questionnaire with minimal changes was used. It included different modules, topically separate areas which had an aim of perceiving the living standard of households from different angles. Topic areas were the following: 1. Roster with demography. 2. Housing conditions and durables module with information on the age of durables owned by a household with a special block focused on collecting information on energy billing, payments, and usage. 3. Diary of food expenditures (weekly), including home production, gifts and transfers in kind. 4. Questionnaire of main expenditure-based recall periods sufficient to enable construction of annual consumption at the household level, including home production, gifts and transfers in kind. 5. Agricultural production for all households which cultivate 10+ acres of land or who breed cattle. 6. Participation and social transfers module with detailed breakdown by programs 7. Labour Market module in line with a simplified version of the Labour Force Survey (LFS), with special additional questions to capture various informal sector activities, and providing information on earnings 8. Health with a focus on utilization of services and expenditures (including informal payments) 9. Education module, which incorporated pre-school, compulsory primary education, secondary education and university education. 10. Special income block, focusing on sources of income not covered in other parts (with a focus on remittances).

Response rate

During field work, interviewers kept a precise diary of interviews, recording both successful and unsuccessful visits. Particular attention was paid to reasons why some households were not interviewed. Separate marks were given for households which were not interviewed due to refusal and for cases when a given household could not be found on the territory of the chosen census block.

In 2002 a total of 7,491 households were contacted. Of this number a total of 6,386 households in 621 census rounds were interviewed. Interviewers did not manage to collect the data for 1,106 or 14.8% of selected households. Out of this number 634 households

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Abstract

The Multiple Indicator Cluster Survey (MICS) is a household survey programme developed by UNICEF to assist countries in filling data gaps for monitoring human development in general and the situation of children and women in particular.

MICS is capable of producing statistically sound, internationally comparable estimates of social indicators. The current round of MICS is focused on providing a monitoring tool for the Millennium Development Goals (MDGs), the World Fit for Children (WFFC), as well as for other major international commitments, such as the United Nations General Assembly Special Session (UNGASS) on HIV/AIDS and the Abuja targets for malaria.

Survey Objectives The 2005 Serbia Multiple Indicator Cluster Survey has as its primary objectives: - To provide up-to-date information for assessing the situation of children and women in Serbia. - To furnish data needed for monitoring progress toward goals established in the Millennium Declaration, the goals of A World Fit For Children (WFFC), and other internationally agreed upon goals, as a basis for future action; - To contribute to the improvement of data and monitoring systems in Serbia and to strengthen technical expertise in the design, implementation, and analysis of such systems.

Survey Content MICS questionnaires are designed in a modular fashion that can be easily customized to the needs of a country. They consist of a household questionnaire, a questionnaire for women aged 15-49 and a questionnaire for children under the age of five (to be administered to the mother or caretaker). Other than a set of core modules, countries can select which modules they want to include in each questionnaire.

Survey Implementation The survey was carried out by the Statistical Office of the Republic of Serbia and the Strategic Marketing Research Agency, with the support and assistance of UNICEF and other partners. Technical assistance and training for the surveys is provided through a series of regional workshops, covering questionnaire content, sampling and survey implementation; data processing; data quality and data analysis; report writing and dissemination.

In 2005 Serbia and Montenegro was the State Union composed of the Republic of Serbia (92.5% of population) and the Republic of Montenegro (7.5% of total population). The MICS 2005 survey was planned and implemented on the whole territory of Serbia and Montenegro, and all documents regarding survey plan and contracts with implementing agencies covered the State Union. In May, 2006 the Republic of Montenegro had a referendum of independency and the State Union broke apart. The results of MICS 2005 survey were presented separately for both countries and two separate reports were prepared.

The survey was implemented by the Statistical Office of the Republic of Serbia (in Serbia) and the Statistical Office of the Republic of Montenegro (in Montenegro) and the expert research agency - Strategic Marketing & Media Research Institute (SMMRI), which covered the survey implementation in both Serbia and Montenegro.

Special tasks performed by the Statistical Office of the Republic of Serbia: Preparation of questionnaire for the survey: Preparation of methodological guidelines for realization of the survey; Updating of lists of households in the selected census block units; Conducting the pilot ; Selection of households to be covered by sample; Coordination of work of their teams in the field; Interviewing of the households; Work control of their teams; Special tasks performed by the SMMRI: Sample selection; Preparation of survey tools; Organising the training; Conducting the pilot; Updating of lists of households in the selected census block units; Organising field work; Coordination of work of their teams in the field; Interviewing of the households; Work control of their teams; Data processing and analysis; Preparation of report.

Geographic coverage

The sample for the Serbia Multiple Indicator Cluster Survey (MICS) was designed to provide estimates on a large number of indicators on the situation of children and women at the national level, for urban and rural areas, and for six regions: Vojvodina, Belgrade, West, Central, East and South-East Serbia. Belgrade has a large population (almost one-quarter of the total) and its predominantly urban characteristics make it necessary to separate it from the rest of Central Serbia, to which it administratively belongs. In order to look more deeply into existing ethnic disparities and to provide national estimates, a separate sample was designed for Roma living in Roma settlements.

Analysis unit

Households (defined as a group of persons who usually live and eat together)

De jure household members (defined as memers of the household who usually live in the household, which may include people who did not sleep in the household the previous night, but does not include visitors who slept in the household the previous night but do not usually live in the household)

Women aged 15-49

Children aged 0-4

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The principal objective of the sample design was to provide current and reliable estimates on a set of indicators covering the four major areas of the World Fit for Children declaration, including promoting healthy lives; providing quality education; protecting against abuse, exploitation and violence; and combating HIV/AIDS. The population covered by the 2005 MICS is defined as the universe of all women aged 15-49 and all children aged under 5. A sample of households was selected and all women aged 15-49 identified as usual residents of these households were interviewed. In addition, the mother or the caretaker of all children aged under 5 who were usual residents of the household were also interviewed about the child.

The 2005 MICS collected data from a nationally representative sample of households, women and children. The primary focus of the 2005 MICS was to prodvide estimates of key population and health, education, child protection and HIV related indicators for the country as a whole, and for urban and rural areas separately. In additon, the sample was designed to provide estimates for each of the 6 regions (Vojvodina, Belgrade, West, Central, East and South-East Serbia) for key indicators. Separate sample was designed for Roma living in Roma settlements.

Important factors which influenced the sample design of both Serb and Roma samples are the fertility rate and number of household members.

A stratified, two-stage random sampling approach was used for the selection of the survey sample.

In the case of the Serbia without the Roma settlements sample, 400 census enumeration areas within each region with probability proportional to size were selected during the first stage. Since the sample frame (Census 2002) was not up to date, household lists in all selected enumeration areas were updated prior to the selection of households. Owing to the low fertility rate and small household size, households were stratified into two categories. One category of households consists of households with under 5 children, while the other category consists of households without children under 5. The allocation of the sample in the category of households with children was significantly greater than the allocation of the sample in the category of households without children. Based on the updated information, selected units were divided into clusters of 18 households on average, plus 3 backup households. Backup households were interviewed only if some of the first 18 households were not found. In the event that a household refused to be interviewed, a backup household was not contacted. In each cluster, the number of households with children was selected with probability proportional to size.

In the case of the Roma population, the universe could be defined only for Roma who live in separate settlements. During the first stage, 106 census enumeration areas were selected. The updating of household lists was done prior to household selection, but there was no need for sample stratification of households with and without children under 5. The average number of households selected in each cluster was 18 on average, plus 3 backup households.

Secondly, after the household listing was carried out within the selected enumeration areas, a systematic sample of 7,794 households in Serbia without Roma from Roma settlements and 1,959 Roma households was drawn up, which makes a total of 9,953 sampled households.

The 2002 Serbian Population Census framework was used for the selection of clusters. Census enumeration areas (app. 100 households) were defined as primary sampling units (PSUs), and were selected from each of the sampling domains by using systematic pps (probability proportional to size) sampling procedures, based on the estimated sizes of the enumeration areas from the 2002 Population Census. The first stage of sampling was thus completed by selecting the required number of enumeration areas from each of the 6 regions by urban and rural areas separately.

Following standard MICS data collection rules, if a household was actually more than one household when visited, then a) if the selected household contained two households, both were interviewed, or b) if the selected household contained 3 or more households, then only the household of the person named as the head was interviewd.

The Serbia Multiple Indicator Cluster Survey sample is not self-weighted. For reporting of national level results,

Serbia RS: Population: Growth data was reported at -0.512 % in 2017. This records an increase from the previous number of -0.524 % for 2016. Serbia RS: Population: Growth data is updated yearly, averaging -0.371 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 0.689 % in 1993 and a record low of -1.423 % in 1995. Serbia RS: Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Serbia – Table RS.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Abstract

This study aims to help address the issue of the appropriate use of statistical data in policy development in Serbia. Faced with enterprise restructuring, high unemployment and high levels of social exclusion, as well as the consequences of internal population displacement, the Government of Serbia (GoS) has recognized and acknowledged the need for fundamental reforms in social policy area and the collection of adequate data of social statistics. Reliable household data are scarce in Serbia, with the result that social policy making is put on a precarious basis. The exceptional circumstances of Serbia have left a legacy of immense complexity, in which social groups have become fractured and excluded. A statistically reliable basis for policy making, particularly in the social sphere, is a priority. Data on poverty and living standards are seen as a part of information system to support decision making by the GoS and its line Ministries. The public is also keenly interested in poverty data. Therefore poverty data are also crucially important for strategic planning bodies within GoS, and for donors in assessing their strategies in support of the Poverty Reduction Strategy (PRS).

Geographic coverage

National

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

The population for LSMS consists of Republic of Serbia residents, excluding Kosovo and Metohija . The sampling frame for the LSMS was based on the Enumeration District (ED) delineated for the 2002 Serbia Census, excluding those with less than 20 households. It is estimated that the households in the excluded EDs only represent about 1 percent of the population of Serbia. The sampling frame also excludes the population living in group quarters, institutions and temporary housing units, as well as the homeless population: these groups also represent less than 1 percent of the population, so the sampling frame should cover at least 98 percent of the Serbian population. Stratification was done in the same way as for the previous LSMSs. Enumeration District were stratified according to: (1) Region in 6 strata (Vojvodina, Belgrade, West Serbia, Sumadija and Pomoravlj e, East Serbia and South East Serbia) (2) Type of settlement (urban and other)

The allocation of EDs according to region and type of settlement was propoI1ionai to the number of occupied dwellings, adjusted to provide sufficient precision of estimates at the regional level. To provide optimal sample sizes in each region we decided that the minimum number of allocated EDs to each stratum should be 60. The result of this procedure was a slight deviation from strictly proportional allocation. The sample size for LSMS 2007 was 71 40 households from 510 selected EDs. Within each ED 14 occupied dwellings were selected. From each selected occupied dwelling one household was selected (using a Kish Grid). The sample size was determined according with the aim of achieving 5,000 household interviews with an expected non-response rate of around 30%. The final response rate was 78%, producing a sample size of 5,557 households.

Sampling deviation

The overall estimated total number of households from the 2007 LSMS based on the final weights is about 10 percent lower than the corresponding figure from the 2002 Census frame. The difference is larger for the rural strata (12.1 percent) than the urban strata (8.7 percent). These differences probably include an actual decline in the number of households in some strata and may also reflect the quality of the updating of the listing of occupied dwelling units in sample EDs.

Mode of data collection

Face-to-face [f2f]

Response rate

Response rate was 78 percent

The data in the Historical Demographic Data of Southeastern Europe series derive primarily from the ethnographic and archival research of Joel M. Halpern, Professor Emeritus of Anthropology at the University of Massachusetts at Amherst, in southeastern Europe from 1953 to 2006. The series is comprised of historical demographic data from several towns and villages in the countries of Bosnia, Croatia, Macedonia, Montenegro, Serbia, and Slovenia, all of which are former constituent republics of the Socialist Federal Republic of Yugoslavia. The data provide insight into the shift from agricultural to industrial production, as well as the more general processes of urbanization occurring in the last days of the Yugoslav state. With an expansive timeframe ranging from 1818 to 2006, the series also contains a wide cross-section of demographic data types. These include, but are not limited to, population censuses, tax records, agricultural and landholding data, birth records, death records, marriage and engagement records, and migration information. This component of the series focuses exclusively on the Serbian village of Orasac and is composed of 64 datasets. These data record a variety of demographic and economic information between the years of 1824 and 1975. General population information at the individual level is available in official census records from 1863, 1884, 1948, 1953, and 1961, and from population register records for the years of 1928, 1966, and 1975. Census data at the household level is also available for the years of 1863, 1928, 1948, 1953, and 1961. These data are followed by detailed records of engagement and marriage. Many of these data were obtained through the courtesy of village and county officials. Priest book records from 1851 through 1966, as well as death records from 1863 to 1976 and tombstone records from 1975, are also available. Information regarding migrants and emigrants was obtained from the village council for the years of 1946 through 1975. Lastly, the data provide economic and financial information, including records of individual landholdings (for the years of 1863, 1952, 1966, and 1975), records of government taxation at the individual or household level (for 1813 through 1840, as well as for 1952), and livestock censuses (at both the individual and household level for the years of 1824 and 1825, and only at the individual level for the years of 1833 and 1834).

Abstract

The Census of Agriculture 2012 (hereinafter referred to as: Census of Agriculture) was conducted in the Republic of Serbia in the period from 1 October to 15 December 2012. Pursuant to the Law on the Census of Agriculture 2011, the Census of Agriculture was anticipated for the period from 1 – 15 November 2011. Due to the delayed 2011 Census of Population, which the Census of Agriculture is directly related to, the Law on Amendments to the Law on the Census of Agriculture 2011 was passed (Official gazette of RS, number 24/11) and thereby this Census was postponed for the year 2012, and its period of implementation extended to last two and a half months. Since there is large number of Serbian citizens working abroad, in order to achieve the best possible coverage of agricultural holdings, in the municipalities of Požarevac, Petrovac na Mlavi, Kladovo, Negotin, Žagubica, Žabari, Velika Plana and Kucevo, the enumeration procedure was extended until 28 December 2012.

Census of Agriculture – Objectives:

• Census of Agriculture in the territory of the Republic of Serbia was carried out with the observance of the following objectives:
• to provide an overall review of the structure of the national agriculture;
• to create database that shall be internationally comparable and grounded on key features of agricultural domain;
• to ensure statistics required for the development of a sustainable agricultural policy and for the process of negotiations and accession to the EU;
• to facilitate the creation of the statistical register of agricultural holdings.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit was the agricultural holding, defined as "a technical and economic independent production unit with a single management on which an enterprise, farm cooperative, institution or another legal entity, unincorporated enterprise or family agricultural holding undertakes agricultural production, as either a primary or a secondary activity".

Kind of data

Census/enumeration data [cen]

Sampling procedure

a. Method of enumeration:

The enumeration of family holdings and holdings of unincorporated enterprises was carried out by authorised enumerators, applying the method of interview, according to them assigned List of households with own-account agricultural production. Holdings of legal entities were enumerated by enumerators authorised for enumeration of legal entities, based on the Register of Legal Entities. They applied the method of interview, previously announcing their visits, and having the support and receiving the instructions from the persons responsible for enumeration of legal entities.

Lists of households with own-account agricultural production were created based on 2011 Census of Population, Households and Dwellings, and updated in compliance with the actual administrative and other sources.

The Register of legal entities was established for the purpose of the Census of Agriculture by using all available sources (Statistical Business Register, local government bodies, Ministry of Agriculture, Forestry and Water Management, and others), and by combining the territorial and organizational principles of reporting, by the SORS regional offices/departments.

b. Frame Lists of households with own-account agricultural production were created based on the 2011 Census of Population, Households and Dwellings (CPHD), and updated using administrative data sources. The Register of legal entities was established for the purposes of the CA by using the available sources (Statistical Business Register, registers hold by local government bodies, MAFWM, and others).

Mode of data collection

Face-to-face [f2f]

Research instrument

The CA 2012 used a single questionnaire, for both family holdings and legal entities. In addition, a "control list" for all agricultural households was filled in during census enumeration. The census questionnaire covered all 16 core items recommended in the WCA 2010.

Chapter 1: GENERAL INFORMATION Chapter 2: LAND, agricultural year 2011/2012 Chapter 3: IRRIGATION, agricultural year 2011/2012 Chapter 4: MINERAL FERTILIZERS, MANURE AND PESTICIDES UTILIZATION, agricultural year 2011/2012 Chapter 5: TILLAGE METHODS AND SOIL CONSERVATION, agricultural year 2011/2012 Chapter 6: LIVESTOCK, BEES AND OTHER ANIMALS, as of 30 September 2012 Chapter 7: ORGANIC FARMING Chapter 8: AGRICULTURAL MACHINERY AND EQUIPMENT, agricultural year 2011/2012 Chapter 9: AGRICULTURAL BUILDINGS, agricultural year 2011/2012 Chapter 10: LABOUR FORCE AND ACTIVITIES OF THE HOLDING, agricultural year 2011/2012 Chapter 11: OTHER DATA ON THE HOLDING

Cleaning operations

a. DATA PROCESSING AND ARCHIVING Quality control and correction of completed questionnaires were carried out in several phases of the AC: during the fieldwork, during data entry and after data entry. The scanning with ICR facilitated further centralized data processing and archiving. For data protection, backup copies of the scanned material were made. Data processing was done using the software platform developed at the SORS. Complete logical and computer control was initiated after the completion of data entry. Approximately 988 criteria were defined to identify errors. Corrections were automatic and manual. Imputation of data was implemented when needed. For the needs of the analysis of the CA 2012 results and validation, 115 output tables were created. In a number of tables, it was possible to directly compare the data from the CA (before and after error correction) with data from other sources (cadastre, Register of holdings of the MAFWM, regular surveys in agricultural statistics).

b. CENSUS DATA QUALITY For the purpose of checking the reliability of the census results, from 14 January to 31 January 2013, a PES1 was carried out. The PES served as a basis to control the quality of data collected through the CA 2012.

Data appraisal

The first results were published in January 2013, regarding the number of agricultural holdings, UAA, the number of livestock by species and the number of owned two-axle tractors. The final results of the CA 2012 were published in December 2013. Several thematic studies (special publications on UAA, machinery, viticulture, fruit growing, etc.), and a Vine atlas were published by the end of 2015. Final data are also available in the census database on the SORS website.

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