The eighth of 20 years of International Social Survey Programme (ISSP) surveys within New Zealand by Professor Philip Gendall, Department of Marketing, Massey University.A verbose rundown on topics covered follows.Attitudes towards religious practices. Assessment of personal happiness; assessment of the responsibility of the government regarding creation of jobs and equalization of incomes; attitude to pre-marital as well as extra-marital sexual intercourse; attitude to homosexuality and abortion; judgement on distribution of roles in marriage and attitude to working women; attitude to living together with a partner before marriage and also without intent to marry; tax honesty and attitude to honesty of citizens towards the government; trust in other people as well as institutions such as parliament, businesses, industry, churches, judiciary and schools.Attitude to influence of church leaders on voters and governments; attitude to benefit of modern science; greater trust in science than in religion; more conflicts instead of peace from religions; intolerance of very religious people; too much influence of religion in one’s country; frequency of personal honorary activities in the last year in political, charitable, religious or other organisations; judgement on the power of churches and religious organisations; doubt or firm belief in God; perceived nearness to God; belief in a life after death, heaven, hell and miracles.Attitude to the Bible; God is concerned with every human; fatalism; the meaning of life and Christian interpretation of life; religious tie at a turning point in life; religious affiliation of father, mother and spouse/partner; frequency of church attendance of father and mother; personal direction of belief and frequency of church attendance when young; frequency of prayer and participation in religious activities; self-classification of personal religiousness; truth in one or in all religions; priority for loyalty to a friend before truth; anticipation of false testimony for the benefit of a friend; belief in lucky charms, fortune tellers, miracle healers and horoscopes; conversion of faith after crucial experience; concept of God; judgement on the world and people as good or bad; social rules or God’s laws as basis for deciding between right and wrong.Demography: sex; age, marital status; living together with a partner; school education; type and time extent of occupation activity; occupation (ISCO-Code); private or public employer; occupational self-employment and number of employees; supervisor function and span of control; time worked each week; income; household size; composition of household; number of co-workers; union membership; party inclination and election behaviour; self-classification on a left-right continuum; religious affiliation; frequency of church attendance; self-classification of social class.Also encoded were: region; rural or urban area; city size; ethnic identification.

These datasets provide datasets on the religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it, by age and sex using Census 2021 data.

Religious groups in the detailed religion classification

The counts for religious groups identified in the Religion (detailed) in England and Wales dataset are a representation of those who chose to write in their religion. Some people may have chosen to describe a denomination of one of the tick-box responses (for example, Catholic as a denomination of Christian or Orthodox as a denomination of Jewish) through the "Any other religion" write-in response option.

2011 Religion data

In 2011, an error in the processing of census data led to the number of usual residents in the “Religion not stated” category being overestimated by a total of 62,000 for the following three local authorities combined: Camden, Islington, and Tower Hamlets.

In February 2015, the ONS published corrected figures for estimates based on the tick-box classification. However, it could not be corrected for the detailed religion classification because the processing and relationships with other output variables are so complex.

For this reason, only apply comparisons for these three local authorities to the tick-box classification, using the corrected figures set out in the ONS 2011 Census products: Issues and corrections notice.

For this publication, where corrected figures for the tick-box classification from the 2011 Census are available, they have been used. Where they are not (for single year of age by sex), the ONS has used data from the CT0291_2011 commissioned table.

This dataset represents the popular baby names for each religion with genders.

This dataset provide a count of Veteran by their religious affiliation and state of residence. The dataset set covers all 50 states, District of Columbia and other territories.

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021. The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads. Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents. Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproducts Religion This dataset provides Census 2021 estimates that classify usual residents in England and Wales by religion. The estimates are as at Census Day, 21 March 2021. Definition: The religion people connect or identify with (their religious affiliation), whether or not they practice or have belief in it.This question was voluntary and the variable includes people who answered the question, including 'No Religion', alongside those who chose not to answer this question.This variable classifies responses into the eight tick-box response options. Write-in responses are classified by their "parent" religious affiliation, including 'No Religion', where applicable. This dataset contains details for Leicester City and England overall.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Faith. The dataset can be utilized to gain insights into gender-based income distribution within the Faith population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Faith, among individuals aged 15 years and older with income, there were 459 men and 363 women in the workforce. Among them, 375 men were engaged in full-time, year-round employment, while 231 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.33% fell within the income range of under $24,999, while 14.29% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 46.40% of men in full-time roles earned incomes exceeding $100,000, while 5.19% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Faith median household income by race. You can refer the same here

The annual Report to Congress on International Religious Freedom � the International Religious Freedom Report � describes the status of religious freedom in every country. The report covers government policies violating religious belief and practices of groups, religious denominations and individuals, and U.S. policies to promote religious freedom around the world. The U.S. Department of State submits the reports in accordance with the International Religious Freedom Act of 1998.

The Public Health Research Database (PHRD) is a linked asset which currently includes Census 2011 data; Mortality Data; Hospital Episode Statistics (HES); GP Extraction Service (GPES) Data for Pandemic Planning and Research data. Researchers may apply for these datasets individually or any combination of the current 4 datasets.

The purpose of this dataset is to enable analysis of deaths involving COVID-19 by multiple factors such as ethnicity, religion, disability and known comorbidities as well as age, sex, socioeconomic and marital status at subnational levels. 2011 Census data for usual residents of England and Wales, who were not known to have died by 1 January 2020, linked to death registrations for deaths registered between 1 January 2020 and 8 March 2021 on NHS number. The data exclude individuals who entered the UK in the year before the Census took place (due to their high propensity to have left the UK prior to the study period), and those over 100 years of age at the time of the Census, even if their death was not linked. The dataset contains all individuals who died (any cause) during the study period, and a 5% simple random sample of those still alive at the end of the study period. For usual residents of England, the dataset also contains comorbidity flags derived from linked Hospital Episode Statistics data from April 2017 to December 2019 and GP Extraction Service Data from 2015-2019.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Faith. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Faith, the median income for all workers aged 15 years and older, regardless of work hours, was $53,417 for males and $12,768 for females.

These income figures highlight a substantial gender-based income gap in Faith. Women, regardless of work hours, earn 24 cents for each dollar earned by men. This significant gender pay gap, approximately 76%, underscores concerning gender-based income inequality in the city of Faith.

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.04 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Faith median household income by race. You can refer the same here

Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate consisting of six condensed maps which show the principle religious denominations of the people living in Canada. The 1951 Census of Canada enumerated the religious denomination of which each person was either a member or to which he or she adhered or favoured. This plate shows the distribution of population on this basis of the six religious groups which were most numerous in 1951. These six groups are as follows: Roman Catholic, The United Church of Canada, The Anglican Church of Canada, Presbyterians, Baptists and Lutherans. Each map is accompanied by a pie chart showing the percentage distribution of each denomination by province and territory.

The religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it. This question was voluntary and includes people who identified with one of eight tick-box response options, including "No religion", alongside those who chose not to answer this question.CoverageThis dataset is focused on the data for Birmingham at Ward level. Also available at LSOA, MSOA and Constituency levels.About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:

Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority. Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.Population valueThe value column represents All usual residents.The percentage shown is the value as a percentage of All usual residents within the given geography.

This dataset is about book series and is filtered where the books is All the rḫyt-people adore : the role of the rekhyt-people in Egyptian religion, featuring 2 columns: book series, and publication dates. The preview is ordered by number of books (descending).

This project investigated the public's attitudes on religion and public life. The survey was commissioned by the Pew Research Center for the People and the Press and produced two reports. The sample consisted of 2,002 adults.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31095741. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

Little research has focused on the relationship between religion and climate change attitudes and behavior. Further, while there have been some studies examining the relationship between environmental attitudes and religion, most are focused on Christian denominations and secularism, and few have examined other religions such as Buddhism. Using an online survey of 1,927 Australians we examined links between membership of four religious groupings (Buddhists, Christian literalists and non-literalists, and Secularists) and climate change attitudes and behaviors. Differences were found across religious groups in terms of their belief in: (a) human induced climate change, (b) the level of consensus among scientists, (c) their own efficacy, and (d) the need for policy responses. We show, using ordinal regression, that religion explains these differences even after taking into account socio-demographic factors, knowledge and environmental attitude, including belief in man's dominion over nature. Differences in attitude and behavior between these religious groups suggest the importance of engaging denominations to encourage change in attitudes and behavior among their members.

Islam and Christianity form the two dominant religions in Nigeria. Since colonialism, approximately 90 percent of the Nigerian people identify themselves as Islamic or Christian. The northern region of Nigeria is predominately Islamic, while the southern region is predominately Christian.

Nigeria’s contact with Islam predated that of Christianity and European colonialism; its spread was facilitated into Sub-Saharan Africa through trade and commerce. The northern part of Nigeria is symbolic to the history of Islam, as it penetrated the area through the Kanem-Borno Empire in the 11th century before spreading to other predominately Hausa states. Islam was then introduced into the traditional societies of the Yoruba-speaking people of south-west Nigeria through their established commercial relationship with people of the north, particularly the Nupe and Fulani.

Christianity reached Nigeria in the 15th century with the visitation of Catholic missionaries to the coastal areas of the Niger-Delta region. Christianity soon recorded a boost in the southern region given its opposition to the slave trade and its promotion of Western education.

The distinct religious divide has instigated violence in present-day Nigeria, including the Sharia riot in Kaduna in 2000, ongoing ethno-religious violence in Jos since 2001, and the 2011 post-election violence that erupted in some northern states, particularly in the city of Maiduguri. Nigerians’ continued loyalty to religion compared to that of the country continues to sustain major political debate, conflict, and violent outbreaks between populations of the two faiths.

ISO3-International Organization for Standardization 3-digit country code

NAME-Name of religious institution

TYPE-Type of religious institution

CITY-City religious institution is located in

SPA_ACC-Spatial accuracy of site location 1- high, 2 – medium, 3 - low

SOURCE_DT-Source creation date

SOURCE-Primary source

SOURCE2_DT-Secondary source creation date

SOURCE2-Secondary source

Collection

This HGIS was created using information collected from the web sites GCatholic.org, Islamic Finder, Wikimapia, and BBBike.org, which uses OpenStreetMap, a crowd-source collaboration project that geo-locates sites throughout the world. After collection, all education institutions were geo-located.

The data included herein have not been derived from a registered survey and should be considered approximate unless otherwise defined. While rigorous steps have been taken to ensure the quality of each dataset, DigitalGlobe Analytics is not responsible for the accuracy and completeness of data compiled from outside sources.

Sources (HGIS)

BBBike, "Nigeria." Last modified 2013. Accessed March 19, 2013. http://extract.bbbike.org.

GCatholic.org, "Catholic Churches in Federal Republic of Nigeria." Last modified 2013. Accessed April 4, 2013. http://www.gcatholic.org/.

Islamic Finder, "Nigeria." Last modified 2013. Accessed April 4, 2013. http://islamicfinder.org/.

Olanrewaju, Timothy. The Sun, "oko Haram attacks church in Maiduguri." Last modified 2013. Accessed April 9, 2013. http://sunnewsonline.com/.

Wikimapia, "Nigeria:Mosques/Churches." Last modified 2013. Accessed April 4, 2013. http://wikimapia.org/

World Watch Monitor, "Muslim Threat to Attack Church Raises Tensions." Last modified 2012. Accessed April 9, 2013. http://www.worldwatchmonitor.org/.

Sources (Metadata)

Danjibo, N.D. "Islamic Fundamentalism and Sectarian Violence: The "Maitatsine" and "Boko Haram" Crises in Northern Nigeria." manuscript., University of Ibadan, 2010. http://www.ifra-nigeria.org.

Olanrewaju, Timothy. The Sun, "oko Haram attacks church in Maiduguri." Last modified 2013. Accessed April 9, 2013. http://sunnewsonline.com/.

Onapajo, Hakeem. "Politics for God: Religion, Politics, and Conflict in Democratic Nigeria." Journal of Pan African Studies. 4. no. 9 (2012): 42-66. http://web.ebscohost.com (accessed March 26, 2013).

World Watch Monitor, "Muslim Threat to Attack Church Raises Tensions." Last modified 2012. Accessed April 9, 2013. http://www.worldwatchmonitor.org/.

The 1991 Census Time Series Community profiles present key tables from the Basic and Expanded Community profiles where the data is comparable across the censuses for Statistical Local Areas (SLA) in Australia. These profiles are made up of 22 tables giving data for both persons and/or dwellings from the 1981, 1986 and 1991 censuses. This table contains data relating to the religion of people by sex. Counts are of all persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary. Please note: (a) Comprises 'Churches of Christ' and 'Churches of Christ Non-denominational'.

This dataset provides Census 2021 estimates that classify usual residents in Northern Ireland by their religion. The estimates are as at census day, 21 March 2021. The religion classification used is a 32-category classification corresponding to the tick box options and write-in responses on the census questionnaire with at least 1,000 responses.

The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

This table reports responses for which there are 1,000 or more usual residents.

'Religion' indicates religion, religious denomination or body. 'Catholic' includes those who gave their current religion as Catholic or Roman Catholic.

This study, designed and carried out by the "http://www.asarb.org/" Target="_blank">Association of Statisticians of American Religious Bodies (ASARB), compiled data on 372 religious bodies by county in the United States. Of these, the ASARB was able to gather data on congregations and adherents for 217 religious bodies and on congregations only for 155. Participating bodies included 354 Christian denominations, associations, or communions (including Latter-day Saints, Messianic Jews, and Unitarian/Universalist groups); counts of Jain, Shinto, Sikh, Tao, Zoroastrian, American Ethical Union, and National Spiritualist Association congregations, and counts of congregations and adherents from Baha'i, three Buddhist groupings, two Hindu groupings, and four Jewish groupings, and Muslims. The 372 groups reported a total of 356,642 congregations with 161,224,088 adherents, comprising 48.6 percent of the total U.S. population of 331,449,281. Membership totals were estimated for some religious groups.

In January 2024, the ARDA added 21 religious tradition (RELTRAD) variables to this dataset. These variables start at variable #8 (TOTCNG_2020). Categories were assigned based on pages 88-94 in the original "https://www.usreligioncensus.org/index.php/node/1638" Target="_blank">2020 U.S. Religion Census Report.

Visit the "https://www.thearda.com/us-religion/sources-for-religious-congregations-membership-data" Target="_blank">frequently asked questions page for more information about the ARDA's religious congregation and membership data sources.

The Pew Research Center Survey of U.S. Jews 2013 is a comprehensive national survey of the Jewish population. The survey explores attitudes, beliefs, practices and experiences of Jews living in the United States. There are two datasets, a respondent dataset (where there is one row per respondent) and a household dataset (where there is one row per person in the sampled households). The respondent dataset includes all of the information collected as part of the survey. The household dataset is a reshaped version of the respondent dataset that includes a limited number of variables describing the demographic characteristics and Jewish status of all of the people in the surveyed households.

The online overview offers comprehensive metadata on the EVS datasets and variables.

The variable overview of the four EVS waves 1981, 1990, 1999/2000, and 2008 allows for identifying country specific deviations in the question wording within and across the EVS waves.

This overview can be found at: Online Variable Overview .

Moral, religious, societal, political, work, and family values of Europeans.

Themes: Feeling of happiness; state of health; ever felt: very excited or interested, restless, proud, lonely, pleased, bored, depressed, upset because of criticism; when at home: feeling relaxed, anxious, happy, aggressive, secure; respect and love for parents; important child qualities: good manners, politeness and neatness, independance, hard work, honesty, felling of responsibility, patience, imaginantion, tolerance, leadership, self-control, saving money, determination perseverance, religious faith, unselfishness, obedience, loyalty; attitude towards abortion; way of spending leisure time: alone, with family, with friends, in a lively place; frequency of political discussions; opinion leader; volentary engagement in: welfare service for elderly, education, labour unions, polititcal parties, human rights, environment, professional associations, youth work, consumer groups; dislike being with people with different ideas; will to help; characterisation of neighbourhood: people with a ciminal record, of a different race, heavy drinkers, emotionally unstable people, immigrants or foreign workers, left-wing or right-wing extremists, people with large families, students, unmarried mothers, members of minority religious sects or cults; general confidence; young people trust in older people and vice versa; satisfaction with life; freedom of choice and control; satisfaction with financial situation of the household; financial situation in 12 months; important values at work: good pay, not too much pressure, job security, a respected job, good hours, opportunity to use initiative, generous holidays, responsibility, interesting job, a job that meets one´s abilities, pleasant people, chances for promotion, useful job for society, meeting people; look forward to work after weekend; pride in one´s work; exploitation at work; job satisfaction; freedom of decision taking in job; behaviour at paid free days: find extra work, use spare time to study, spend time with family and friends, find additional work to avoid boredom, use spare time for voluntary work, spend time on hobbies, run own business, relaxing; fair payment; preferred management type; attitude towards following instructions at work; satisfaction with home life; sharing attitudes with partner and parents: towards religion, moral standards, social attitudes, polititcal views, sexual attitudes; ideal number of children; child needs a home with father and mother; a woman has to have children to be fulfilled; sex cannot entirely be left to individual choice; marriage as an out-dated institution; woman as a single parent; enjoy sexual freedom; important values for a successful marriage: faithfulness, adequate income, same social background, respect and appreciation, religious beliefs, good housing, agreement on politics, understanding and tolerance, apart from in-laws, happy sexual relationship, sharing household chores, children, taste and interests in common; accepted reasons for divorce; main aim of imprisonment; willingness to fight for the own country; fear of war; expected future changes of values; opinion about scientific advances; interest in politics; political action: signing a petition, joining in boycotts, attending lawful demonstrations, joining unofficial strikes, occupying buildings or factories, damaging things and personal violence; prefence for freedom or equality; self-positioning on a left-right scale; basic kinds of attitudes concerning society; confidence in institutions: churches, armed forces, education system, the press, labour unions, the police, parliament, the civil services, major companies and the justice system; living day to day because of uncertain future; party preference and identification; regularly reading of a daily newspaper; frequency of TV watching; opinion on terrorism; thinking about meaning and purpose of life; feeling that life is meaningless; thoughts about dead; good and evil in everyone; regret having done something; worth risking life for: country, another´s life, justice, freedom, peace and religion; attitude towards good and evil and religion and truth; religous denomination; church attendence; self placement as religious person; churches give answers to: moral problems, problems of family life, spiritual needs, importance of religion in the future; believe in: God, life after death, soul, hell, heaven, sin, re-incarnation and devil; personal God vs. spirit or life force; importance of God; comfort and strength from religion; moments of prayer or meditation; applying of the ten commandements to...