In 2025, Hungary’s population totaled 9.54million. The number of inhabitants residing in Budapest decreased over the past years, measuring at **** million as of January 1, 2025. The population of other towns and villages also showed a slight decrease in recent years. Permanent internal migration increases The number of people permanently changing their place of residence within the country has increased in Hungary lately. Permanent internal migration peaked in 2021 at more than ******* individuals, while, in 2010, this figure stood at approximately *******. In 2024, the number of Hungarians migrating internally totaled *******. Budapest real estate market In addition to the country’s decreasing population, real estate prices in Budapest also contribute to the declining number of Hungarians living in the capital. As of April 2024, the lowest average monthly rental prices were recorded in districts XXIII and XVIII, at approximately ******* forints. By comparison, the highest rental prices were recorded in district V at ******* forints.

Historical dataset of population level and growth rate for the Budapest, Hungary metro area from 1950 to 2025.

In 2022, District XI was the most populated district in Budapest, with over *** thousand inhabitants in 2022. Foreign citizens preferred District XIII and VIII, as their number reached almost ** thousand inhabitants in these areas.

As of January 1, 2024, Budapest had the highest number of foreign residents totaling *** thousand. At the same time, Nógrád had the lowest number of foreign citizens among its population.

In 2022, Budapest's District VI and District V had the highest share of foreign citizens, **** and **** percent, respectively. Other central districts, such as districts VII, VIII, and IX alsohad high shares of people from other nations. The least favored districts by internationals were District IV, XVII, XXII and XXIII, all recording a share below *** percent.

In 1800, the population of the area of modern-day Hungary was approximately 3.3 million, a figure which would steadily rise in the first two decades of the 19th century, as modernization driven by rising exports of cash crops resulting from the ongoing Napoleonic wars would see Hungary become a major exporter in Europe. The slowing in population growth in the 1920s can be attributed in part to the economic recession which hit Hungary in the years following Napoleon defeat, as a grain prices collapsed, and economic hardship intensified in the country. Hungary would see a small increase in population growth in the 1860s, as the country would merge with the Austria to form Austria-Hungary in 1967. As industrialization would continue to accelerate in Hungary, the country’s population rise even further, reaching just over seven million by 1900.

While Hungary had enjoyed largely uninterrupted growth throughout the 19th century, the first half of the 20th century would see several major disruptions to Hungary’s population growth. Growth would slow greatly in the First World War, as Austria-Hungary would find itself one of the largest combatants in the conflict, losing an estimated 1.8 to 2 million people to the war. Hungary’s population would flatline entirely in the 1940s, as the country would see extensive military losses in the country’s invasion of the Soviet Union alongside Germany, and further loss of civilian life in the German occupation of the country and subsequent deportation and mass-murder of several hundred thousand Hungarian Jews. As a result, Hungary’s population would remain stagnant at just over nine million until the early 1950s.

After remaining stagnant for over a decade, Hungary’s population would spike greatly in the early 1950s, as a combination of a tax on childlessness and strict contraception restrictions implemented by then-Minister of Public Welfare Anna Ratkó would lead to a dramatic expansion in births, causing Hungary’s population to rise by over half a million in just five years. However, this spike would prove only temporary, as the death of Stalin in 1953 and subsequent resignation of much of the Stalinist regime in Hungary would see an end to the pro-natalist policies driving the spike. From 1980 onward, however, Hungary’s population would begin to steadily decline, as a sharp reduction in birth rates, combined with a trend of anti-immigrant policies by the Hungarian government, both before and after the collapse of the Soviet bloc, has led Hungary’s population to fall steadily from its 10.8 million peak in 1980, and in 2020, Hungary is estimated to have a population of just over nine and a half million.

What are the top vacation rentals in Budapest? How many vacation rentals have private pools in Budapest? Which vacation homes in Budapest are best for families? How many Rentbyowner vacation rentals are available in Budapest?

Total Operated Flight: Hungary: Budapest-Zhejiang: Ningbo data was reported at 4.000 Unit in 28 Apr 2025. This stayed constant from the previous number of 4.000 Unit for 21 Apr 2025. Total Operated Flight: Hungary: Budapest-Zhejiang: Ningbo data is updated weekly, averaging 4.000 Unit from Jun 2023 (Median) to 28 Apr 2025, with 99 observations. The data reached an all-time high of 4.000 Unit in 28 Apr 2025 and a record low of 0.000 Unit in 09 Dec 2024. Total Operated Flight: Hungary: Budapest-Zhejiang: Ningbo data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Operated Flight: Arrival: Zhejiang.

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Total Operated Flight: Hungary: Budapest-Shaanxi: Xian data was reported at 2.000 Unit in 28 Apr 2025. This stayed constant from the previous number of 2.000 Unit for 21 Apr 2025. Total Operated Flight: Hungary: Budapest-Shaanxi: Xian data is updated weekly, averaging 2.000 Unit from Dec 2019 (Median) to 28 Apr 2025, with 46 observations. The data reached an all-time high of 4.000 Unit in 30 Dec 2019 and a record low of 0.000 Unit in 02 Dec 2024. Total Operated Flight: Hungary: Budapest-Shaanxi: Xian data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Operated Flight: Arrival: Shaanxi.

China Total Operated Flight: Hungary: Budapest-Beijing data was reported at 4.000 Unit in 28 Apr 2025. This stayed constant from the previous number of 4.000 Unit for 21 Apr 2025. China Total Operated Flight: Hungary: Budapest-Beijing data is updated weekly, averaging 3.000 Unit from Dec 2018 (Median) to 28 Apr 2025, with 169 observations. The data reached an all-time high of 6.000 Unit in 25 Mar 2019 and a record low of 0.000 Unit in 05 Jun 2023. China Total Operated Flight: Hungary: Budapest-Beijing data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Operated Flight: Arrival: Beijing.

In 2024, the vast majority of Russian and Greek citizens traveling to Hungary visited the country's capital, Budapest, at 97.8 percent and 97.6 percent of the trips, respectively. In comparison, 85.4 percent of Austrians visiting the country made a trip to Budapest.

CN: Total Cancellation Rate: Hungary: Budapest-Beijing data was reported at 0.000 % in 28 Apr 2025. This stayed constant from the previous number of 0.000 % for 21 Apr 2025. CN: Total Cancellation Rate: Hungary: Budapest-Beijing data is updated weekly, averaging 0.000 % from Dec 2018 (Median) to 28 Apr 2025, with 169 observations. The data reached an all-time high of 100.000 % in 05 Jun 2023 and a record low of 0.000 % in 28 Apr 2025. CN: Total Cancellation Rate: Hungary: Budapest-Beijing data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Cancellation Rate: Arrival: Beijing.

CN: Total Cancelled Flight: Beijing-Hungary: Budapest data was reported at 0.000 Unit in 24 Nov 2025. This stayed constant from the previous number of 0.000 Unit for 17 Nov 2025. CN: Total Cancelled Flight: Beijing-Hungary: Budapest data is updated weekly, averaging 0.000 Unit from Dec 2018 (Median) to 24 Nov 2025, with 199 observations. The data reached an all-time high of 3.000 Unit in 01 Sep 2025 and a record low of 0.000 Unit in 24 Nov 2025. CN: Total Cancelled Flight: Beijing-Hungary: Budapest data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Cancelled Flight: Departure: Beijing.

China Total Cancellation Rate: Chongqing-Hungary: Budapest data was reported at 0.000 % in 24 Nov 2025. This stayed constant from the previous number of 0.000 % for 17 Nov 2025. China Total Cancellation Rate: Chongqing-Hungary: Budapest data is updated weekly, averaging 0.000 % from Dec 2019 (Median) to 24 Nov 2025, with 155 observations. The data reached an all-time high of 100.000 % in 17 Feb 2025 and a record low of 0.000 % in 24 Nov 2025. China Total Cancellation Rate: Chongqing-Hungary: Budapest data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Cancellation Rate: Departure: Chongqing.

China Total Operated Flight: Hungary: Budapest-Chongqing data was reported at 1.000 Unit in 28 Apr 2025. This stayed constant from the previous number of 1.000 Unit for 21 Apr 2025. China Total Operated Flight: Hungary: Budapest-Chongqing data is updated weekly, averaging 1.000 Unit from Dec 2019 (Median) to 28 Apr 2025, with 125 observations. The data reached an all-time high of 1.000 Unit in 28 Apr 2025 and a record low of 0.000 Unit in 17 Feb 2025. China Total Operated Flight: Hungary: Budapest-Chongqing data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Operated Flight: Arrival: Chongqing.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

The survey covers Hungary.

Analysis unit

• Household
• Individual

Universe

The WVS for Hungary covers national population aged 18 years and over, for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

We use probability sample that had been selected in multiple stages with proportional stratification. In the first stage, localities are chosen. In the second stage, the respondents were chosen from the localities with simple random sampling. In the first stage, locality strata have been created and the localities were chosen from these strata with the help of random sampling. All the regions (7) are involved into the sample. For each region 1 additional town and 2-3 villages are selected. In addition, the capital, Budapest is always included into the selected localities, because 20% of Hungarian population live there. About 70 localities are selected. Then, the number of respondents in the previously chosen localities has been defined in accordance with the proportion of the population of the given strata - regions, and different types of localities (towns and villages) within the regions. Thus, it is assured that each adult with an address in Hungary had equal probability to become a sample member. Random walking The random walking method is a quite widely used sampling method. The underlying idea of this method is that fieldworkers do not receive names and addresses, but a starting point and a route in all sample localities and a standardised procedure to select the individuals to be asked in the selected household. Choosing the localities and the streets When using the random walking method, the sample of localities is created as a first step, with the same method as it was detailed in the previous chapter. After creating the locality sample, the streets are defined with the help of a random technique using a database containing all the street names in the selected localities. The selected streets serve as starting points for the interviewers. Our interviewers receive pre-numbered questionnaires. All visited addresses are recorded on a list. This list contains the identification number of the completed questionnaires, the adapted Leslie Kish key of the sample member, his/her name, his/her address, and codes representing the success or the reason of the fallout. Choosing the house As the street is defined for the interviewers, he/she can freely choose the first house between the street numbers 1 and 4. On the side of the chosen house, the interviewer must select every fourth house/house gate as a sample house. At the end of the street, the interviewer has to proceed on the other side of the street. If one of the houses falls out, for some reason (e.g. it is inhabitable, one-flat house and the household member refuses to participate in the research), it has to be documented on the list (code of fall-out) and carry on the interviews in the next fourth house. Choosing the flat If there is more than one flat in the house, and the house has only a ground floor, than the second flat should be picked. and the house has one floor, then the second flat on the first floor should be chosen. and the house has an odd number of floors, than the second flat of the middle floor should be chosen (e.g. the house has five floors than the second flat of the third floor should be chosen). - and the house has an even number of floors, than the floor number should be halved and second flat on that floor should be included into the sample (e.g. the house has four floors than the second flat on the second floor should be chosen). The second flat is the one that is the second from the gate or the house entrance. All chosen addresses have to be administered on the list. Choosing the person answering the questionnaire The interviewer has to contact the family living in the chosen flat/house. Contact is considered successful if the interviewer could talk to one of the adults living in that flat. The person to be interviewed is chosen with the help of the key belonging to that flat. This above-mentioned key running from one to six belongs to a pre-defined table (adapted Leslie Kish keys). The rows and columns of the tables make up a matrix which makes it possible that all adult persons living in the same flat have an equal chance to become a sample member, independently from the household size. (The tables are found on the back of the covers of each questionnaire.) This page contains six numbered tables. The key number and the table number has to be matched and based on the information provided by an adult family member, the person to be interviewed is to be picked. This person is defined by the cell of the table where the rows contain the number of persons above 18 years old in the family, and the columns contain the number of males living the same family. The person to be interviewed has to be older than 18. The sample size for Hungary is N=1007.

Mode of data collection

Other [oth]

Research instrument

Questionary in hungarian. All our questionnaires are carefully designed. Experts of all kind participate in the process: experienced interviewers, instructors, researchers. The draft questionnaires are always piloted in order to reduce mistakes and ambivalence. Great emphasis is laid on trying to prevent mistakes that can be proved incorrectable later.

Response rate

A – Total issued (total sample) 2803 B – Ineligible: address vacant (79), wrong ages(275) 354 C - (=A - B) Total eligible (in scope sample) 2449 D – Total questionnaires received 1007 E - (= C - D; = F+ G + H + I ) Total non-response 1442 F – Refusals (refusing to take part) 1006 G – Non-contact (never contacted) 143 H – Respondent too sick/incapacitated to participate 26 I – Respondent away during survey period 267

Remarks about non-response: The regional instructors hand over the questionnaires to our post-fieldworkers working at the Budapest headquarters of TÁRKI. Post-fieldworkers responsibilities are: further, standardised fill-in control; coding open questions and recording data. The number of the post-fieldworkers ranges from 5 to 25 depending on the given research. Besides of this regional control, a central controller is employed in TARKI, who has not daily personal connection with the interviewers. After the results of logical control of data based on computer, and the reports of post-fieldworkers, she conducts an additional control of interviewers or regions where the mistakes or problems seem to be frequent. She controls personally or with the help of phone, or with letter of checking. She is responsible for inspect the controlling work of regional instructors as well.

Total Cancelled Flight: Hungary: Budapest-Hebei: Shijiazhuang data was reported at 0.000 Unit in 05 Aug 2019. Total Cancelled Flight: Hungary: Budapest-Hebei: Shijiazhuang data is updated weekly, averaging 0.000 Unit from Aug 2019 (Median) to 05 Aug 2019, with 1 observations. The data reached an all-time high of 0.000 Unit in 05 Aug 2019 and a record low of 0.000 Unit in 05 Aug 2019. Total Cancelled Flight: Hungary: Budapest-Hebei: Shijiazhuang data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Cancelled Flight: Arrival: Beijing.

In 2021, nearly **** percent of Hungarians living in Budapest followed a gluten-free diet. At the same time, another **** percent of the respondents from the capital were vegan.

Housing Index in Hungary increased to 352.86 points in the second quarter of 2025 from 349.19 points in the first quarter of 2025. This dataset provides - Hungary House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.