Poverty and low-income statistics by visible minority group, Indigenous group and immigration status, Canada and provinces.

Proportion of the population living: in a dwelling owned by some members of the household; in core housing need and; in suitable dwelling, proportion of the population living alone, poverty rate (MBM), prevalence of low income (LIM-AT) and (LIM-BT), knowledge of official languages, by visible minority and selected characteristics (gender, age group, first official language spoken, immigrant status, period of immigration, generation status and highest certificate, degree or diploma).

Poverty and low-income statistics by visible minority group, Indigenous group and immigration status, Canada and provinces.

Family Visas Category Archives — Immigration Lawyer Blog Published by San Diego Immigration Attorney — Jacob J. Sapochnick | Published by San Diego Immigration Attorney — Jacob J. Sapochnick

Gender, age, language, income, poverty status, indigenous identity, immigrant status, visible minority, education and labour force status of the population residing in resource-based communities (census subdivisions where a relatively high proportion of employment income comes from fishing, forestry, or agriculture), for 2021.

Cluster characterization of different poverty clusters (High-high (Hotspot), Low-low (Coldspot), Low-high, and High-low) across the years 2017, 2020, and 2022.

Gender, age, language, income, poverty status, indigenous identity, immigrant status, visible minority, education and labour force status of the population residing in resource-based communities (census subdivisions where a relatively high proportion of employment income comes from fishing, forestry, or agriculture), for 2021.

This table lists the comuna-level poverty estimates used in our analysis. (XLSX)

World Values Survey 2005: Finnish Data studies the respondents' values, attitudes and situation in life with various questions. The data include an oversample of Swedish-speaking population. The respondents rated the importance of various domains in life (e.g. family, work, leisure time). Views were probed on happiness, objectives, satisfaction with life, and whether the respondents felt that they have completely free choice and control over their lives. The survey also investigated whether the respondents belonged to any voluntary organisations or communities. In relation to prejudices against different groups with various characteristics, the respondents were asked which groups they would not like to have as neighbours (e.g. people of a different race, drug addicts, immigrants, sexual minorities). Further questions covered general trust or mistrust of people. There were several questions relating to working life in the survey. One theme pertained to which aspects the respondents would consider to be important if they were looking for a job (e.g. a good income, safety in the workplace). The respondents were asked whether they agreed with statements relating to work and working life. The respondents were also asked whether it is justifiable to favour Finns or men for employees when jobs are scarce. Several questions focused on family, home, marriage, and having and raising children. Further questions charted religious behaviour, beliefs, and whether the respondents belonged to any religious denominations. The respondents were asked to assess the aims of Finnish society and potential future changes in lifestyle. They considered different global problems and objectives to find solutions to them. The respondents' political action was covered by asking, among other things, if they had participated in peaceful demonstrations. Confidence in various institutions in society was examined. The respondents were also asked to assess different political systems and characteristics of democracy. Political inclinations were surveyed, for instance, by asking the respondents to place themselves on the left-right axis and by asking them about voting behaviour. Opinions were also probed on the responsibilities of the individual vs. the responsibilities of the government, competition, science, technology, income disparity, attitudes towards euthanasia, cheating on taxes, accepting a bribe, Finnishness, foreign aid, immigration, and ethnic diversity. The use of computer and different sources of information were investigated as well. The face-to-face interview was followed by a self-completed questionnaire. Finnish conceptions of Swedes were investigated. Firstly, the questionnaire covered the respondents' knowledge of, among others, Swedish population, current and former prime ministers, authors, composers, athletes, and how Sweden fared in the UN's international comparisons measuring standard of living and equality between men and women. Further questions covered the respondents' trips to Sweden and whether they had any Swedish acquaintances. The respondents' opinions on, among others, cooperation between Sweden and Finland regarding culture, politics and economy were charted, as well as their views on Swedish institutions and the characteristics and self-image of Swedes. Finally, the questionnaire examined the attitudes that the respondents, their relatives, and the whole Finnish population have towards Swedes. Background variables included, among others, the respondent's gender, year of birth, marital status, number of children, educational level, main occupation, duration of the possible unemployment, province of residence, type of neighbourhood, household income, and whether or not R lives with his/her parents.

Sociodemographic characteristics of the cluster population in the High-high (Hotspot) and Low-low (Coldspot) clusters for 2017, 2020, and 2022.

In 2019, people from most ethnic minority groups were more likely than White British people to live in the most deprived neighbourhoods.

EQUITY CONSIDERATIONThe two top indicators of lead exposure risk are income and age of housingThe reason income is a factor is because many old homes that have not addressed exposed lead are rental properties where landlords have deferred maintenance. Individuals and families with lower incomes often cannot afford home ownership and are thus more likely to live in rental housing. Another population vulnerable to lead exposure is Denver’s immigrant and refugee population. Often, new immigrants and refugees bring with them cooking utensils or cosmetics that have elevated lead levels, or they have been exposed to lead in a dwelling in their home country and so their blood lead levels show as high when they are screen upon entry to Denver.Given the context above, these data may shine light on areas in Denver where there are opportunities to work with landlords and other property owners to ensure exposed lead is addressed within properties and to ensure children, in particular, are screened for elevated lead levels.DATA INTERPRETATIONWhat does the targeting lead outreach map tell us?The targeted lead outreach map combines information on testing rates and lead exposure risk in order to identify where and how these two factors overlap in geographic space.The targeted lead outreach map can be used to prioritize areas for increased testing for lead, for example, by identifying census tracts with high exposure risk and low testing rates.Tracts that fall in the highest risk category are of particular concern because they all have highest levels of risk of lead exposure based on housing, poverty, and population estimates for children under age 6. However, tracts that also have relatively low lead testing rates among children under age six represent potential targets for greater resources and lead testing.What does the map of lead exposure risk tell us?The lead exposure risk index can be used to identify areas of high and low risk of childhood lead exposure, based on the presence of known risk factors.The lead exposure risk index is a neighborhood-level (census tract) estimate of risk of childhood lead exposure based on three factors: housing age, poverty level, and population of children younger than age six.These data do not tell us for sure where lead poisoning cases are occurring. Rather, they show where the greatest potential for lead exposure exists based on risk factors that are well-established in peer-reviewed scientific literature.What does the map of lead testing rates tell us?The lead testing rate map can be used to assess the relative levels of lead testing among children younger than age six in different census tracts throughout Colorado.The lead testing rate is the total number of children younger than age six living in a given census tract and tested for lead between 2013 and 2017 expressed as a percentage of the estimated total population of children younger than age six living in the same tract. The rate is then categorized into high, moderate, or low compared to the rest of the state.DATA DICTIONARYTEST_RATE– The decile of the count of children under age 6 tested for lead within each Census Tract. Data Type: NUMData Values: -1 = Zero population of children 1- 10 = deciles Data source: Numerator = Colorado Blood Lead Level Data Registry - Colorado Childhood Lead Poisoning Prevention ProgramDenominator = U.S. Census Bureau American Community Survey 5 year Estimates (2013-2017). Population of Children Less than 6 years of age. Table: B17024.RISK_SCORE– The risk index score of the lead risk index based on housing, poverty, and population data from the U.S. Census American Community Survey. Data Type:NUMData Values:0 = No population of any age1-10 = decilesData source: U.S. Census Bureau American Community Survey 5 year Estimates (2013-2017). Year Structure Built and Population living below federal poverty limit. Tables: B25034 and S1701.PRIORITY – This is the bivariate 3x3 index that indicates the risk based screening “priority,” based on the level of testing and the amount of risk (as measured by the risk index variable). Data Type: NUMData Values:0 = Zero population of children A1 = High Risk, Low TestingA2 = High Risk, Moderate TestingA3 = High Risk, High TestingB1 = Mod Risk, Low TestingB2 = Mod Risk, Mod TestingB3 = Mod Risk, High TestingC1 = Low Risk, Low TestingC2 = Low Risk, Mod TestingC3 = Low Risk, High TestingRELIABLE – An indicator of data reliability based on the coefficient of variation (COV_PLT6). 1 = COV