Transportation to Work by Race/Ethnicity

Risk Factors and Inequalities in California

About this dataset

This table contains important data on the mode of transportation used by California residents aged 16 years and older. This information is sourced from the U.S. Census Bureau Decennial Census and American Community Survey and given as part of a series of indicators as part of the Healthy Communities Data and Indicators Project created by the Office of Health Equity.

Commuting to work makes up a large portion - 19% -of overall travel miles in the United States, with automobiles being overwhelmingly preferred by commuters over other methods like walking or biking. Automobiles show an impressive level of personal mobility, however they are associated with certain hazards such as air pollution, car crashes, pedestrian injuries, sedentary lifestyles linked to stress-related health problems and more. Alternatives such as walking alone or combined with public transport offer physical activity which has been linked to lower rates for diseases like heart disease, stroke, diabetes colon cancer breast cancer dementia depression etc., however these forms do come with their own risks; urban areas especially feature higher collision risks seeking pedestrians due to increased vehicle density while bus/rail passengers face less risk than motorcyclists pedestrians or bicyclists.

But this isn't just any average statistic; certain disadvantaged minority communities bear a disproportionate share when it comes to pedestrian-car fatalities: Native American males have an astonishingly 4 times higher death rate compared to Whites or Asians whereas African-Americans & Latinos face double risk than their respective counterparts; factors like stereotypes regarding race based driving behavior can be partially responsible for this discrepancy further marching for more research into this area our part towards embracing greater equality for all races/ethnicities . As such this data acquired from HealthData & CHHS Open Data is presented in hopes that greater awareness can be generated on current situation leading ultimately towards improving safety & providing better mobility options uniformly across all communities

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How to use the dataset

This dataset contains information on the mode of transportation to work for California residents aged 16 and older by race/ethnicity. It provides an excellent opportunity to compare commute data across different regions, counties, geographies, and ethnicities. This dataset can be used in many ways and can give insights into how different communities utilize different modes of transportation.

To get started using this dataset, begin by filtering the data to narrow down the criteria you are looking for (e.g., region_code or county_fips). Once you have narrowed down your selection of data points, you can use a variety of visualizations to gain insights into population segments who use various means of transport. For example, you could create charts such as bar graphs, line graphs or pie charts that display population patterns across year groups within a given area or particular demographic groupings (race/ethnicity). Additionally, this information could be used for public policy related applications such as informing zones about allocating resources to increase accessibility or safety related concerns with certain modes etc.

By examining this dataset further it is also possible to make comparative analyses between several years which may shed light on social trends over time in regards to commuting behaviors which could potentially reveal potential opportunities when planning infrastructure projects or commuter-friendly services such as ridesharing groups etc., through identifying current commuting gaps in given areas relative two other nearby regions based on mode usage shifts throughout various timespans within the years included in this dataset's range (2000-2010).

In conclusion; whether studying historical trends or analyzing present activity –this Transportation To Work 2000-2006-2010 Dataset holds invaluable insight on travel trends among California’s populous providing great potential for expansive research endeavors as well as guiding decision makers from city councils toward more effective policies & projects delivering positive community impact & productivity benefits

Research Ideas

Investigating the relationship between mode of transportation and health among different racial/ethnic groups in California and also comparisons across regions.

Analyzing the safety of walking and biking versus motor vehicles by looking at the relative risk ratio and corresponding standard errors in the dataset.

Developing an interactive visualization dashboard to compare mode of transport among race/ethnicity, region, county, geotype, etc in order to inform decision makers about potential policies or initiatives to reduce traffic related injuries or fatalities in vulnerable populations

Acknowledgements

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

License

License: Open Database License (ODbL) v1.0

You are free to:

Share - copy and redistribute the material in any medium or format.

Adapt - remix, transform, and build upon the material for any purpose, even commercially.

You must:

Give appropriate credit - Provide a link to the license, and indicate if changes were made.

ShareAlike - You must distribute your contributions under the same license as the original.

Keep intact - all notices that refer to this license, including copyright notices.

No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.

No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: Transportation_To_Work_2000-2006-2010.csv

Column name	Description
ind_definition	Indicator definition (String)
reportyear	Year of the report (Integer)
race_eth_code	Race/ethnicity code (Integer)
race_eth_name	Race/ethnicity name (String)
geotype	Geographical type (String)
geotypevalue	Geographical type value (Integer)
geoname	Geographical name (String)
county_name	County name (String)
county_fips	County FIPS code (Integer)
region_name	Region name (String)
region_code	Region code (Integer)
mode	Mode of transportation (String)
mode_name	Mode of transportation name (String)
pop_mode	Population using that mode (Integer)
pop_total	Total population (Integer)
percent	Percentage using that mode (Float)
LL95CI_percent	Lower 95% confidence interval (Float)
UL95CI_percent	Upper 95% confidence interval (Float)
percent_se	Standard error (Float)
percent_rse	Relative standard error (Float)
CA_decile	Decile of California (Integer)
CA_RR	Risk ratio of California (Float)
version	Version of the dataset (Integer)

Acknowledgements

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

Tables

Transportation To Work 2000–2006–2010

@kaggle.thedevastator_transportation_to_work_by_race_ethnicity.transportation_to_work_2000_2006_2010

6.68 MB
336238 rows
25 columns


CREATE TABLE transportation_to_work_2000_2006_2010 (
  "index" BIGINT,
  "ind_id" BIGINT,
  "ind_definition" VARCHAR,
  "reportyear" VARCHAR,
  "race_eth_code" BIGINT,
  "race_eth_name" VARCHAR,
  "geotype" VARCHAR,
  "geotypevalue" BIGINT,
  "geoname" VARCHAR,
  "county_name" VARCHAR,
  "county_fips" DOUBLE,
  "region_name" VARCHAR,
  "region_code" DOUBLE,
  "mode" VARCHAR,
  "mode_name" VARCHAR,
  "pop_mode" DOUBLE,
  "pop_total" DOUBLE,
  "percent" DOUBLE,
  "ll95ci_percent" DOUBLE,
  "ul95ci_percent" DOUBLE,
  "percent_se" DOUBLE,
  "percent_rse" DOUBLE,
  "ca_decile" DOUBLE,
  "ca_rr" DOUBLE,
  "version" VARCHAR
);