California Household Crowding

2006-2010 Risk Ratios and Percentages

By Health [source]

About this dataset

This table provides an overview of the prevalence of household overcrowding and severe overcrowding in California from 2006-2010. Data on relative Standard Error (RSE), California decimal, and California Risk Ratio (RR) are also included. Residential crowding has serious health consequences, including increased risk of infection from communicable diseases, higher prevalence of respiratory ailments, and greater vulnerability to homelessness among the poor. This dataset can be used to identify demographics that may be disproportionately affected by crowded housing situation such as older immigrant communities, households with low income, renter-occupied dwellings and those that engage in doubling up. Furthermore, this data can help policy makers allocate resources to improve living conditions for affected individuals. An understanding of these household characteristics is essential for creating more equitable living conditions throughout California

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides detailed data on the populations experiencing overcrowding and severe overcrowding in California, its regions, counties, and cities/towns. It is essential to understand household crowding in order to better target governmental efforts towards the most affected communities. To use this dataset, you'll need to first become familiar with some of the key fields included and what they mean:

• ind_definition: This field provides a definition of the indicator which indicates whether we are looking at data for households experiencing overcrowding or severe overcrowding.
• reportyear: This field contains information about what year the report was published for.
• race_eth_code: This field contains a numerical code which describes race/ethnicity information for each area included in the dataset.
• race_eth_name: This field provides additional descriptive information about each area's racial/ethnic makeup based off of their race/ethnicity code in this database.
• income_level: This field displays income level measurements as specified by HUD categories such as Very Low Income (VLI) and Extremely Low Income (ELI).

• tenure: Tenure is broken down into rental households vs owner occupied households - this is an important factor when considering household crowding as renters are more likely to experience it than people who own their home outright due to cost criteria so they may be more likely living with other people or living close quarters just to save money on rent payments upfront or security deposits. - crowding cat: Describes whether we are measuring overall household crowding or severe overcrowded houses according to HUD definitions (see above). - geotype & geotypevalue : These two fields contain specific geographic data for each area that can be used for mapping analysis etc.. The geotype contains information about what type of geography we're looking at i.e., county/city etc., while geotypevalue contains ID values associated with those types allowing further analysis based off these IDs if necessary! - countyfips & regionname provide useful labels when attempting geographical analysis; regionname will describe high level geography such as state boundaries etc., while countyfips allow us more precise locations within states thus enabling precision query analysis into localized areas using tools such as ArcGIS' statistical functions etc..

    The totalhshlds column shows us exactly how many homes are present across California regions counties or cities whereas crowdedhshlds tells us
  

Research Ideas

• Analyzing and mapping regional variations in overcrowding and how it is related to regional economic conditions.
• Identifying which race/ethnicities are most likely to experience overcrowding, and why this might be the case.
• Examining how overcrowding affects housing affordability in California, and adapting public policy to address the issue where needed

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even comm...

A. SUMMARY This dataset represents the COVID-19 vaccinations given to residents of San Francisco over time. All vaccines given to SF residents are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). The data are broken down by multiple demographic stratifications. This dataset also includes COVID-19 vaccinations given to SF residents by the San Francisco Department of Public Health (SFDPH) over time.

Data provides counts for residents who have received at least one dose, residents who have completed a primary vaccine series, residents who have received one or two monovalent (not bivalent) booster doses, and residents who have received a bivalent booster dose. A primary vaccine series is complete after an individual has received all intended doses of the initial series. There are one, two, and three dose primary vaccine series.

B. HOW THE DATASET IS CREATED Information on doses administered to those who live in San Francisco is from the California Immunization Registry (CAIR2), run by the California Department of Public Health (CDPH). The information on individuals’ city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration.

In order to estimate the percent of San Franciscans vaccinated, we provide the 2016-2020 American Community Survey (ACS) population estimates for each demographic group.

C. UPDATE PROCESS Updated daily via automated process

D. HOW TO USE THIS DATASET San Francisco population estimates for race/ethnicity and age groups can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).

Before analysis, you must filter the dataset to the desired stratification of data using the "overall_segment" column.

For example, filtering "overall_segment" to "All SF Residents by Age Bracket, Administered by All Providers" will filter the data to residents whose vaccinations were administered by any provider. You can then further segment the data and calculate percentages by Age Brackets.

If you filter "overall_segment" to "All SF Residents by Race/Ethnicity, Administered by DPH Only", you will see the race/ethnicity breakdown for residents who received vaccinations from the San Francisco Department of Public Health (SFDPH).

If you filter "overall_segment" to "All SF Residents by Age Group, Administered by All Providers" you will see vaccination counts of various age eligibility groups that were administered by any provider.

To count the number of individuals vaccinated (with any primary series dose) for the first time on a given day, use the "new_recipients" column. To count the number of individuals who have completed their primary vaccine series on a given day, use the "new_series_completed" column. To count the number of primary series doses administered on a day (1st, 2nd, 3rd, or single doses), use the "new_primary_series_doses" column.

To count the number of individuals who received their first or second monovalent (not bivalent) booster dose on a given day, use the "new_booster_recipients" and "new_2nd_booster_recipients" columns. To count the number of individuals who received their first bivalent booster dose on a given day, use the "new_bivalent_booster_recipients" column. To count the number of monovalent (not including bivalent) or bivalent booster doses administered on a given day, use the "new_booster_doses" or "new_bivalent_booster_doses" columns.

To count the number of individuals who have received a vaccine up to a certain date, use the columns beginning with "cumulative_..."

E. ARCHIVED DATA A previous version of this dataset

As of 10/27/2022, this dataset will no longer update. To continue to access updated vaccination metrics given to SF residents, including newly added bivalent boosters, please navigate to the following page: COVID-19 Vaccinations Given to SF Residents by Demographics.

A. SUMMARY This dataset represents doses of COVID-19 vaccine administered in California to residents of San Francisco. All vaccines given to people who live in San Francisco are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). The data are broken down by multiple demographic stratifications.

B. HOW THE DATASET IS CREATED Information on doses administered to those who live in San Francisco is from the California Immunization Registry (CAIR), run by the California Department of Public Health (CDPH). The information on individuals’ city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration.

In order to estimate the percent of San Franciscans vaccinated, we provide the same 2019 five-year American Community Survey population estimates that are used in our public dashboards.

C. UPDATE PROCESS Updated daily via automated process

D. HOW TO USE THIS DATASET Before analysis, you must filter the dataset to the desired stratification of data using the OVERALL_SEGMENT column.

For example, filtering OVERALL_SEGMENT to "Ages 5+ by Age Bracket, Administered by All Providers" will filter the data to residents 5 and over whose vaccinations were administered by any provider. You can then further segment the data and calculate percentages by Age Brackets.

If you filter OVERALL_SEGMENT to "Ages 65+ by Race/Ethnicity, Administered by DPH Only", you will see the race/ethnicity breakdown for residents aged 65+ who received vaccinations from San Francisco’s Department of Public Health (DPH).

A. SUMMARY This dataset represents all San Francisco (SF) residents who have received a vaccine for certain respiratory viruses that circulate more heavily in the fall and winter months. All vaccines given to SF residents are included, even if they received their vaccination elsewhere in California. The data are broken down by demographic and geographical stratifications. COVID-19: This dataset represents all SF residents who are considered up to date on their COVID-19 vaccine. A person is up to date if they have received at least one dose of the 2024–2025 COVID-19 vaccine. The specific up-to-date criteria can be found on the California Department of Public Health (CDPH) website. (Note: As of November 2024, this dataset only contains data regarding COVID-19 vaccinations. This documentation will be updated as other seasonal vaccination data is added). B. HOW THE DATASET IS CREATED Information on doses administered to those who live in SF is from the California Immunization Registry (CAIR2), run by CDPH. The information on individuals’ city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. In order to estimate the percent of San Franciscans vaccinated, we provide the 2018-2022 American Community Survey (ACS) population estimates for each demographic group and analysis neighborhood. C. UPDATE PROCESS Updated daily via automated process. D. HOW TO USE THIS DATASET SF population estimates for race/ethnicity and age groups can be found in a view based on the San Francisco Population and Demographic Census dataset. SF population estimates for analysis neighborhoods can be found in a view based on the San Francisco Population and Geography Census dataset. Both of these views use population estimates from the 2018-2022 5-year ACS. Before analysis, you must filter the dataset to the desired stratification of data using the “vaccine_type” and "demographic_group" columns. For example, filtering “vaccine_type” to “COVID-19” will allow you to only look at rows corresponding to COVID-19 vaccinations. Filtering “demographic_subgroup” to “Analysis Neighborhood” will allow you to only look at rows corresponding to SF neighborhoods. You can then calculate the percentages of those up to date with their COVID-19 vaccinations by neighborhood. The “vaccine_subtype” field provides information about the current vaccine product being tracked in this dataset. E. CHANGE LOG 11/5/2024 - Dataset updated to reflect up to date status for the 2024-2025 monovalent formulation of the COVID-19 vaccine. 7/2/2024 - Population estimates were updated to reflect the most recent ACS data.

In early February 2024, we will be retiring the Mpox Vaccinations Given to SF Residents by Demographics dataset. This dataset will be archived and no longer update. A historic record of this data will remain available. A. SUMMARY This dataset represents doses of mpox vaccine (JYNNEOS) administered in California to residents of San Francisco ages 18 years or older. This dataset only includes doses of the JYNNEOS vaccine given on or after 5/1/2022. All vaccines given to people who live in San Francisco are included, no matter where the vaccination took place. The data are broken down by multiple demographic stratifications. B. HOW THE DATASET IS CREATED Information on doses administered to those who live in San Francisco is from the California Immunization Registry (CAIR2), run by the California Department of Public Health (CDPH). Information on individuals’ city of residence, age, race, ethnicity, and sex are recorded in CAIR2 and are self-reported at the time of vaccine administration. Because CAIR2 does not include information on sexual orientation, we pull information from the San Francisco Department of Public Health’s Epic Electronic Health Record (EHR). The populations represented in our Epic data and the CAIR2 data are different. Epic data only include vaccinations administered at SFDPH managed sites to SF residents. Data notes for population characteristic types are listed below. Age * Data only include individuals who are 18 years of age or older. Race/ethnicity * The response option "Other Race" is categorized by the data source system, and the response option "Unknown" refers to a lack of data. Sex * The response option "Other" is categorized by the source system, and the response option "Unknown" refers to a lack of data. Sexual orientation * The response option “Unknown/Declined” refers to a lack of data or individuals who reported multiple different sexual orientations during their most recent interaction with SFDPH. For convenience, we provide the 2020 5-year American Community Survey population estimates. C. UPDATE PROCESS Updated daily via automated process. D. HOW TO USE THIS DATASET This dataset includes many different types of demographic groups. Filter the “demographic_group” column to explore a topic area. Then, the “demographic_subgroup” column shows each group or category within that topic area and the total count of doses administered to that population subgroup. E. CHANGE LOG UPDATE 1/3/2023: Due to low case numbers, this page will no longer include vaccinations after 12/31/2022.

Data includes: board and school information, grade 3 and 6 EQAO student achievements for reading, writing and mathematics, and grade 9 mathematics EQAO and OSSLT. Data excludes private schools, Education and Community Partnership Programs (ECPP), summer, night and continuing education schools.

How Are We Protecting Privacy?

Results for OnSIS and Statistics Canada variables are suppressed based on school population size to better protect student privacy. In order to achieve this additional level of protection, the Ministry has used a methodology that randomly rounds a percentage either up or down depending on school enrolment. In order to protect privacy, the ministry does not publicly report on data when there are fewer than 10 individuals represented.

* Percentages depicted as 0 may not always be 0 values as in certain situations the values have been randomly rounded down or there are no reported results at a school for the respective indicator. * Percentages depicted as 100 are not always 100, in certain situations the values have been randomly rounded up.

The information in the School Information Finder is the most current available to the Ministry of Education at this time, as reported by schools, school boards, EQAO and Statistics Canada. The information is updated as frequently as possible.

This information is also available on the Ministry of Education's School Information Finder website by individual school.

Descriptions for some of the data types can be found in our glossary.

School/school board and school authority contact information are updated and maintained by school boards and may not be the most current version. For the most recent information please visit: https://data.ontario.ca/dataset/ontario-public-school-contact-information.

Number, percentage and rate (per 100,000 population) of persons accused of homicide, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.

As of July 2024, the largest age group among the United States population were adults aged 30 to 34 years old. There were 11.9 million males and some 12.1 million females in this age cohort. The total population of the country was estimated to be 340.1 million Which U.S. state has the largest population? The United States is the third most populous country in the world. It is preceded by China and India, and followed by Indonesia in terms of national population. The gender distribution in the U.S. has remained consistent for many years, with the number of females narrowly outnumbering males. In terms of where the residents are located, California was the state with the largest population. The U.S. population by race and ethnicity The United States poses an ethnically diverse population. In 2023, the number of Black or African American individuals was estimated to be 45.76 million, which represented an increase of over four million since the 2010 census. The number of Asian residents has increased at a similar rate during the same time period and the Hispanic population in the U.S. has also continued to grow.