About this dataset

Context

The dataset tabulates the Jerusalem town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Jerusalem town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Jerusalem town was 4,214, a 0.24% decrease year-by-year from 2022. Previously, in 2022, Jerusalem town population was 4,224, a decline of 1.95% compared to a population of 4,308 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Jerusalem town decreased by 411. In this period, the peak population was 4,717 in the year 2005. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Jerusalem town is shown in this column.
• Year on Year Change: This column displays the change in Jerusalem town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Jerusalem town Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Jerusalem population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Jerusalem. The dataset can be utilized to understand the population distribution of Jerusalem by age. For example, using this dataset, we can identify the largest age group in Jerusalem.

Key observations

The largest age group in Jerusalem, OH was for the group of age 30 to 34 years years with a population of 20 (14.60%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Jerusalem, OH was the 25 to 29 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Jerusalem is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Jerusalem total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Jerusalem Population by Age. You can refer the same here

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

About this dataset

Context

The dataset tabulates the population of Jerusalem by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Jerusalem. The dataset can be utilized to understand the population distribution of Jerusalem by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Jerusalem. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Jerusalem.

Key observations

Largest age group (population): Male # 35-39 years (12) | Female # 30-34 years (15). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Jerusalem population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Jerusalem is shown in the following column.
• Population (Female): The female population in the Jerusalem is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Jerusalem for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Jerusalem Population by Gender. You can refer the same here

Jerusalem was the city with the largest population of Ultra-Orthodox Jewish residents in Israel in 2022, reaching ******* people. The community accounted for almost ** percent of the city's total population. The town with the second-highest number of Ultra-Orthodox Jews was Bnei Brak, with ******* residents. Beit Shemesh and Modi'in Illit also made up a sizable portion of the Ultra-Orthodox community in Israel.

Israel's population is aging steadily, with the median age projected to rise from ** years in 2020 to ** years by 2050. This demographic shift reflects global trends of increasing life expectancy and declining birth rates, though Israel maintained a relatively young population compared to many developed nations. The country's unique religious and cultural makeup contributed to regional variations in age distribution, presenting both opportunities and challenges for policymakers. Which region has the oldest population? As of 2023, over a ******* of Israelis were under the age of 14 years. The largest age group in the country being ************** and below. Interestingly, significant regional differences existed within the country when it came to age distribution and aging. While the median age in the Jerusalem district was below **, Tel Aviv was the oldest region with an average age of over ** years, highlighting significant demographic variations across different areas. How does religion influence demographics? Religious affiliation played a role in Israel's age structure and demographics. Muslims are the youngest religious group with a median age of ** years, while Christians of Arab ethnicity are the oldest, at ** years. Jews, the largest religious-ethnic group, had a median age of almost ** years, but within the Jewish demographic, age and fertility varied greatly between people based on religiosity. These differences play a significant role in the country's population and future growth patterns.

Comprehensive demographic dataset for Jerusalem, , RI, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

In 2021, the largest group of Jerusalem residents registered with the social welfare department of the Ministry of Labor, Social Affairs and Social Services in Israel were those 0-14 years old with a share of **** percent. The second largest group registered with the authorities was those 15-24 years old with a share of **** percent. the group to have the smallest share of residents registered with the social welfare department in this city were those 64-74 years old with only *** percent.

In the school year ********* (2021/22), ****** elementary school students were enrolled in the Hebrew education system in Jerusalem, Israel. The number of students in this education system in the city reached a peak during this school year. The number of pupils in this education system grew steadily by almost ** percent during the period under review.

Abstract

The Jerusalem Household Social Survey 2010 is one of the most important statistical activities that have been conducted by PCBS. It is the most detailed and comprehensive statistical activity that PCBS has conducted in Jerusalem. The main objective of the Jerusalem household social survey, 2010 is to provide basic information about: Demographic and social characteristics for the Palestinian society in Jerusalem governorate including age-sex structure, Illiteracy rate, enrollment and drop-out rates by background characteristics, Labor force status, unemployment rate, occupation, economic activity, employment status, place of work and wage levels, Housing and housing conditions, Living levels and impact of Israeli measures on nutrition behavior during Al-Aqsa intifada, Criminal offence, its victims, and injuries caused.

Geographic coverage

Social survey data covering the province of Jerusalem only, the type locality (urban, rural, refugee camps) and Governorate

Analysis unit

households, Individual

Universe

The target population was all Palestinian households living in Jerusalem Governorate.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Sample Frame Were estimated sample size of Jerusalem by 2,075 family, including 1,200 families in the Area J1, and 875 families in the Area of J2 has been the establishment of Sample Frame to Jerusalem (J2) of the General Census of Population and Housing, and Establishment, which was carried out by the PCBS at the end of 2007. And the frame is a list of counting areas, and these areas are used as units an initial preview (PSUs) in the first stage of the process of selecting the sample. Stratified cluster random sample of regular two phases: Phase 1 was selected a stratified random sample of enumeration areas from Jerusalem (J1) and Jerusalem (J2). The number of enumeration areas that have been chosen counting area 75 divided into two Areas : 40 the count of Jerusalem (J1), 35 the count of Jerusalem (J2). Phase 2 Is to choose a random sample (in a field) of the households of the selected enumeration areas are selected so that 30 families from each of the complete count has been selected in the first phase of Jerusalem (J1) and 25 families are selected at random from each Areas regularly count has been selected in the first phase of Jerusalem (J2) on the completion of the data that are a minimum of 20 families from each Areas counted in Jerusalem (J2).

Mode of data collection

Face-to-face [f2f]

Research instrument

A survey questionnaire the main tool for gathering information, so do not need to check the technical specifications for the phase of field work, as required to achieve the requirements of data processing and analysis, has been designed form the survey after examining the experience of other countries on the subject of social surveys, covering the form as much as possible the most important social indicators as recommended by the United Nations, taking into account the specificity of the Palestinian community in this aspect.

Cleaning operations

Data processing:

Input processing programs: Program is designed input beam programming Access, entry screens have been designed and auditing as well as the tests have been developed through automated checking the input and then cleaning the rules of programming questions and to examine variables at the level of form.

Data entry: After the completion of design input, testing and making sure readiness, started work on data entry and after the entrances have been trained to deal with the programs of the entry. Work began on the introduction of survey data as of 26/07/2010 until 28/11/2010. It was the number of entrances who worked on the introduction of statements 5 entrances at a minimum, where the number of employees to enter data commensurate with the flow of forms, note that the flow of the forms on the entry could not be uniform due to the difficulty of transportation because of security conditions, and was checking the forms returned from the entry of by the auditors to complete and re-adjusted and then re-entered its final form after their arrival from the field.

Check and clean the data: Been cleaned data queries run tests and adjust input errors immediately. And re-forms containing errors form to the project manager to deal with them. After the completion of the data entry process began work on the audit and examine the data as follows: 1. Check transitions, and allowed values. 2. Check compatibility and consistency between questions per section and the various departments, and this to us ? E logical relations. 3. Tests based on certain relationships between the different questions, so that was extracted list Balastmarat is matched, review and identify the source of a bug where, if found there are errors in the input was adjusted immediately, and if there are errors, the field was being converted to field work to re-visit again , and correct errors in form, have included the stage of data cleaning in two stages: the stage of cleaning the survey data in terms of consistency and logic and linked to age and date of birth, educational status and other per capita, and consistency of questions of each section of the form of households, while the second stage have included the examination of consistency between the results of Questions Social Survey 2010 and Social Survey of Jerusalem in 2005. Surveys and other surveys such as the impact of expansion and annexation wall on the population, 2008, as well as the Labour Force Survey - third quarter 2010.

Response rate

Were selected (2,374) represented the family of Jerusalem Governorate, a sample size which is equal to the original 2,075 family as well as samples to 299 additional families of Jerusalem (J2) The number of families who were interviewed (1,709) in Jerusalem Governorate, complete Questionnaires 72.0% (1,026) in J1 85.5% (683) in J2 58.2%

Sampling error estimates

Data were collected in a manner that the survey sample and not Balhsr destruction, so she is exposed to two main types of errors. The first sampling errors (statistical errors), and the second non-statistical errors. It is intended that sampling errors of the errors resulting from sample design, so it is easy to measure, the contrast has been calculated and the effect of sample design.

The non-statistical errors are possible to occur in every stage of project implementation, through data collection, inserting, and mistakes can be summarized by the non-response, and response errors (surveyed), and the mistakes of the interview (the researcher) and data-entry errors. To avoid errors and reduce the impact it has made significant efforts through the training of researchers extensive training, and the presence of a group of experts in the concepts and terminology, medical / health, and training on how to conduct interviews, and the things that must be followed during the interview, and the things that should be avoided.

Have been trained on the data entry program entry, program, and were examined in order to see the picture of the situation and reduce any problems, there was constant contact between supervisors and checkers through ongoing visits and periodic meetings. In addition, has been drafting a set of circulars and instructions reminder to the team. Also been circulated answers to questions and problems faced by the researchers during the field work.

As for office work have been trained crew to check the special forms and field detection of errors, which greatly reduces the rates of errors that can occur during field work. In order to reduce the proportion of errors that can occur during entry form to the computer, the software is designed to entry so as not to allow any errors Tnasagah can get during the process of input and contains many of the conditions Logical, where they were loading the program the input of many tests on private answers each question in addition to the relations between the different questions and testing the other logical. This process has led to the disclosure of most of the errors that are not found in previous phases of work, where they were correct all errors that have been discovered.

Data were evaluated according to the following areas: 1. Definition of family members and how to register. 2. Demographic characteristics that have a relationship on Christmas. 3. Breakdown of the profession and activity.

Methods of assessment vary according to the data subject in this survey include the following: 1. Occurrences of missing values and Answers "other" and "Do not know" and examine inconsistencies between different sections or between the date of birth and other sections. Add to examine the internal consistency of the data as part of a logical data and completeness. 2. Compared to survey data with the results of surveys of the relationship and by the Central Bureau of Statistics Palestinian implementation.

Can be summarized as sources of some non-statistical errors that have emerged during the implementation of the survey including the following: Inability to meet the data in some cases the forms because of the lack of a home or be in the housing unit does not exist or are uninhabited and there are families not able to provide some data or refused to do so. Some families did not take the form subject very seriously affecting the quality of the data provided. Errors resulting from the method of asking the question by the researcher in the field. Category understand the question and answer based on his understanding of it. The inability of the technical team overseeing the

Between Oct. 14, 2014, and May 21, 2015, Pew Research Center, with generous funding from The Pew Charitable Trusts and the Neubauer Family Foundation, completed 5,601 face-to-face interviews with non-institutionalized adults ages 18 and older living in Israel.

The survey sampling plan was based on six districts defined in the 2008 Israeli census. In addition, Jewish residents of West Bank (Judea and Samaria) were included.

The sample includes interviews with 3,789 respondents defined as Jews, 871 Muslims, 468 Christians and 439 Druze. An additional 34 respondents belong to other religions or are religiously unaffiliated. Five groups were oversampled as part of the survey design: Jews living in the West Bank, Haredim, Christian Arabs, Arabs living in East Jerusalem and Druze.

Interviews were conducted under the direction of Public Opinion and Marketing Research of Israel (PORI). Surveys were administered through face-to-face, paper and pencil interviews conducted at the respondent's place of residence. Sampling was conducted through a multi-stage stratified area probability sampling design based on national population data available through the Israel's Central Bureau of Statistics' 2008 census.

The questionnaire was designed by Pew Research Center staff in consultation with subject matter experts and advisers to the project. The questionnaire was translated into Hebrew, Russian and Arabic, independently verified by professional linguists conversant in regional dialects and pretested prior to fieldwork.

The questionnaire was divided into four sections. All respondents who took the survey in Russian or Hebrew were branched into the Jewish questionnaire (Questionnaire A). Arabic-speaking respondents were branched into the Muslim (Questionnaire B), Christian (Questionnaire C) or Druze questionnaire (D) based on their response to the religious identification question. For the full question wording and exact order of questions, please see the questionnaire.

Note that not all respondents who took the questionnaire in Hebrew or Russian are classified as Jews in this study. For further details on how respondents were classified as Jews, Muslims, Christians and Druze in the study, please see sidebar in the report titled "http://www.pewforum.org/2016/03/08/israels-religiously-divided-society/" Target="_blank">"How Religious are Defined".

Following fieldwork, survey performance was assessed by comparing the results for key demographic variables with population statistics available through the census. Data were weighted to account for different probabilities of selection among respondents. Where appropriate, data also were weighted through an iterative procedure to more closely align the samples with official population figures for gender, age and education. The reported margins of sampling error and the statistical tests of significance used in the analysis take into account the design effects due to weighting and sample design.

In addition to sampling error and other practical difficulties, one should bear in mind that question wording also can have an impact on the findings of opinion polls.

In 2023, Jerusalem was the city with the largest population of Muslim residents in Israel, reaching ******* people. This represented about ** percent of the city's total population. The town with the second-highest number of Muslims was Rahat, with ****** members of the religion. Rahat is a predominantly Bedouin city in southern Israel. Umm al-Fahm and Nazareth, both located in northern Israel, make up a sizeable portion of the Muslim community in Israel.

Yearly citation counts for the publication titled "POPULATION DISTRIBUTION IN AN ETHNO-IDEOLOGICALLY DIVIDED CITY: THE CASE OF JERUSALEM".

In 2022, internal migration to Jerusalem from the city of Bet Shemesh accounted for 6.8 percent of all migration to the city that year. It was closely followed by Tel Aviv-Yafo, which accounted for 6.1 percent. The Jewish-Orthodox-dominated cities of Bnei Brak and Betar Illiit follow on the list with 5.7 and 3.7 percent of migration to Jerusalem, respectively.

Jerusalem was the largest city in Israel with over *********** inhabitants as of the end of 2024. It was followed by Tel Aviv with almost half a million residents. Haifa was the third-largest city in the country, with just under ******* inhabitants.

Abstract

The survey is designed to collect, analyze and disseminate demographic and health data pertaining to the Palestinian population living in the Palestinian territory, with a focus on demography, fertility, family planning and maternal and child health.

Geographic coverage

The data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp)

Analysis unit

Household Individual

Universe

The survey covered all the Palestinian households who are a usual residence in the Palestinian Territory.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample frame and sample design: The list of all Palestinian households has been constructed by updating some identification variables from the data collected through the Population Census of 1997. The master sample was drawn up to be used for different sample surveys. It consists of 481 enumeration areas (EA) (the average size of about 150 households). The master sample was the sample frame for the current Demographic and Heath Survey of 2004. The selected EA were divided into small units called cells (with an average size of 25 households). One cell per EA was selected.

The sample type was a stratified two-stage random sample: First stage: 260 EAs were selected from all Palestinian territory. Second stage: A systematic random sample of 25 households was selected from each EA in the West Bank and the Gaza Strip. For the part of Jerusalem that was annexed by Israel after the 1967 war, 30 households were selected from each EA.

Sample size: The number of households in the sample was 6,574 households: 4,456 in the West Bank and 2,118 in the Gaza Strip.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was consisted of the following parts:

• Household part: consisted household roster including demographic variables such as age, sex, date of birth, smoking, health insurance,disability, child labor for children aged 10 years and over and education section for persons aged 5-17 years.
• Dwelling part: including questions on housing conditions such as main drinking water source, iodized salt and other socio-economic indicators. -Women (15-54 years) questionnaire
• Women part: this part was designed to collect data from all ever-married women 15-54 years old. It consists of seven sections: Reproduction, Contraception, Pregnancy and Breast Feeding, Tetanus Toxoid (TT), Health Awareness and Public Health, Awareness of AIDS, Fertility Preference.
• Child part: this part was designed to collect data from all children aged less than 5 years, it consists Child Education, Child health and Immunization, and Anthropometry.

Cleaning operations

Data editing took place at a number of stages through the processing including:

1. office editing and coding
2. during data entry
3. structure checking and completeness
4. structural checking of SPSS data files

Response rate

The survey sample consists of about 6,574 households of which 5,799 households completed the interview; whereas 3,746 households from the West Bank and 2,053 households in Gaza Strip. Weights were modified to account for non-response rate. The response rate in the West Bank reached 84.1% while in the Gaza Strip it reached 96.9%. The response rate in the Palestinian Territory reached 88.2%.

Sampling error estimates

Detailed information on the sampling Error is available in the Survey Report downloadable under the "Documentation" tab.

Data appraisal

Detailed information on the data appraisal is available in the Survey Report downloadable under the "Documentation" tab.

In 2022, internal migration from Jerusalem to the orthodox city of Bet Shemesh accounted for 18.1 percent of all migration from the city that year. It was closely followed by migration to Tel Aviv-Yafo, which stood at 6.2 percent. In recent years, the city has taken on a more religious character. Many leisure and nightlife facilities in the town are closed on Saturdays for religious reasons; therefore, the municipality is becoming less appealing to non-religious people. In addition, a religious population leaves Jerusalem for other cities due to a higher cost of living. In the 2022 elections for the 25th Knesset in Israel, the ultra-religious party United Tora Judaism constituted the  most popular party  among the residents of Jerusalem. 

Jerusalem is still a leading tourist city 

While Jerusalem's popularity as a place to live is waning somewhat, the city is still a top tourist destination. Both international and domestic tourism are thriving in the city. In 2022, the  number of foreign guests in hotels in Jerusalem  reached over 673,000. This was a significant increase compared to the previous year. Tourists from abroad are interested in visiting the city due to its religious and historical importance, with sites sacred to many religions. In addition, the number of Israeli guests in hotels in Jerusalem  is also high. In the same year, 713,000 Israelis stayed in hotels in the city, a slight rise compared to 2021. Among the famous sites in the city are the Church of the Holy Sepulcher, the Western Wall, and the Dome of the Rock.

Maternal and offspring characteristics of the cohort by mode of delivery, N = 11,001.

Abstract

Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at https://www.fao.org/measuring-hunger/en.

The FIES-based indicators are compiled using the FIES survey module, containing eight questions. Two indicators can be computed:
1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity.

These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys.

Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available in the downloads tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

Geographic coverage

National

Analysis unit

Individuals

Universe

Non-institutionalized adult population (15 years of age or older) living in households.

Kind of data

Sample survey data [ssd]

Sampling procedure

With some exceptions, all samples are probability based and nationally representative of the resident adult population. The coverage area is the entire country including rural areas, and the sampling frame represents the entire civilian, non-institutionalized, aged 15 and older population. For more details on the overall sampling and data collection methodology, see the World poll methodology attached as a resource in the downloads tab. Specific sampling details for each country are also attached as technical documents in the downloads tab. Exclusions: Areas with population concentrations under 1,000 people were excluded. The excluded areas represent approximately 2% of West Bank and East Jerusalem. Interviewing was not conducted in Gaza Strip. Jewish Israeli-majority areas within the West Bank and East Jerusalem are not included. Design effect: 1.25

Mode of data collection

Face-to-Face [f2f]

Cleaning operations

Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.

Sampling error estimates

The margin of error is estimated as 3.5 percentage points. By adding and subtracting this value to the result, the confidence interval at 95% level is obtained. The margin of error was calculated assuming a reported outcome of 50% (giving the maximum sampling variability for that sample size) and takes into account the design effect.

Odds Ratio for overweight/obesity (BMI≥25kg/m2) in 17-year-old offspring associated with cesarean vs. vaginal delivery.