Data Explorer

Welcome

The Data Explorer is a web query tool available for the public to freely access topics of interest concerning the health and well-being of West Virginia and our communities. It is designed to summarize and analyze the important state- and county-level health data from the Mountain State Assessment of Trends in Community Health (MATCH) survey. The current data are based on the first survey collected from August 2021 to February 2022. As additional surveys are collected, more data will be added to this tool. The next survey collection is scheduled for late 2023.

Our goal for this tool is to help health officials and decision makers (1) understand the health and well-being of West Virginians, (2) identify unmet needs and service gaps, and (3) better allocate health resources within the state. This page introduces and highlights a few key areas of interest, focusing on behavioral health, substance use, and other health indicators of adults living in non-group housing (18+ years old). To start exploring the data, select “Summarize Data'' to access the data summary or “Analyze Associations” to run a statistical computation.

Demographics

Demographics age bar graph showing a comparison between match survey data and the American community survey (ACS) national level data. For ages 18-24 WV MATCH is 10.1%, 140,589 and National ACS is 10.2%, 24,300,406. For ages 25-34 WV MATCH is 14.9%, 208,300 and National ACS is 17.2%, 41,006,303. For ages 35-44 WV MATCH is 15.2%, 211,151 and National ACS is 16.8%, 40,0225,529. For ages 45-54 WV MATCH is 16.5%, 230,061 and National ACS is 16.7%, 39,787,450. For ages 55-64 WV MATCH is 18.3%, 255,608 and National ACS is 17.4%, 41,473,322. For ages 65+ WV MATCH is 25.1%, 350,284 and National ACS is 21.5%, 51,209.572.
Demographics race and ethnicity bar graph showing a comparison between match survey data and the American community survey (ACS) national level data. For white, non-hispanic WV MATCH is 92.7%, 1,295,005 and National ACS is 62.3%, 159,000,000. For black, non-hispanic WV MATCHh is 2.5%, 35,087 and National ACS is 11.9%, 30,427,154. For hispanic WV MATCH is 1.6%, 22,049 and National ACS is 16.5%, 41,966,968. For asian, non-hispanic WV MATCH is 0.3%, 4,189 and National ACS is 5.8%, 14,831,724. For other, non-hispanic WV MATCH is 2.9%, 40,084 and National ACS is 3.5%, 8,860,787.
Demographics educational bar graph showing a comparison between match survey data and the American community survey (ACS) national level data. For less than high-school WV MATCH is 12.4%, 171,562 and National ACS is 10.9%, 26,011,083. For high-school WV MATCH is 43.5%, 604,290 and National ACS is 48.3%, 115,000,000. For some college WV MATCH is 24.1%, 334,349 and National ACS is 8.5%, 20,229,060. For college or more WV MATCH is 20.1%, 278,783 and National ACS is 32.3%, 76,935,327.
Demographics household income bar graph showing a comparison between match survey data and the American community survey (ACS) national level data. For $15,000 or less WV MATCH is 21.7%, 302,688 and National ACS is 6.3%, 14,713,790. For $15,001 to $20,000 WV MATCH is 8%, 112,409 and National ACS is 3.1%, 7,411,425. For $20,001 to $25,000 WV MATCH is 6.9%, 96,733 and National ACS is 3.4%, 8,068,632. For $25,001 to $30,000 WV MATCH is 6.1%, 85,210 and National ACS is 3.6%, 8,553,942. For $30,001 to $35,000 WV MATCH is 5.3%, 73,712 and National ACS is 3.5%, 8,312,271. For $35,001 to $40,000 WV MATCH is 5.8%, 80,838 and National ACS is 3.9%, 9,154,778. For $40,001 to $50,000 WV MATCH is 8%, 112,079 and National ACS is 7.5%, 17,662,592. For $50,001 to $60,000 WV MATCH is 7.3%, 101,773 and National ACS is 7.2%, 16,989,955. For $60,001 to $70,000 WV MATCH is 5.2%, 73,194 and National ACS is 6.8%, 15,987,946. For $70,001 to $85,000 WV MATCH is 6.5%, 90,108 and National ACS is 9.3%, 21,836,569. For $85,001 to $100,000 WV MATCH is 6.4%, 89,235 and National ACS is 8.2%, 19,239,141. For $100,001 to $150,000 WV MATCH is 7.6%, 106,727 and National ACS is 18.1%, 42,554,457. For more than $150,000 WV MATCH is 5.1%, 71,708 and National ACS is 19.1%, 44,920,644.

Comparison to the American Community Survey

Age, Race/Ethnicity, Education, and Household Income

How does the state of West Virginia compare to the United States as a whole? Here you can see a comparison between the MATCH Survey data and the American Community Survey (ACS) national level data. This section highlights a few key demographics on Age, Race/Ethnicity, Education, and Household Income. You can explore more with the data through the “Summarize Data” and “Analyze Associations” capabilities.

* Note: Survey data are weighted.

Healthcare Access

Insurance Coverage

Do you have any kind of health insurance coverage, including private health insurance or government plans such as Medicare or Medicaid?

Icon of two hands, one on top of the other. 1,304,203 (93.4%) People are covered with health insurance

Icon of two hands, one on top of the other with a no symbol over them. 91,609 (6.6%) People are NOT covered with health insurance

Insurance Coverage

What kinds of health insurance or healthcare coverage do you have?

Insurance coverage bar graph listing kinds of health insurance or healthcare coverage people have. For employer/union 475,921, 37.7%. For Medicare 432,638, 34.3%. For Medicaid/ Mountain Health Trust (recoded) 356,569, 26.3%. For Public Employees Insurance Agency (PEIA) 132,345, 10.5%. For purchased 81,674, 8.5%. For other 69,660, 5.5%. For military 59,964 4.8%. For Medigap 18,628, 1.5%.

*This variable was recoded to account for missing or skipped responses.

Reasons for Not Seeking Healthcare

What were the reasons why you did not get the medical care you needed in the past 12 months?

Reasons for Not Seeking Healthcare bar graph. For cost 28,596, 39.6%. For no insurance 22,016, 30.5%. For other reason 21,943, 30.4%. For COVID-19 17,850, 24.7%. For long wait time 13,814, 19.1%. For needed referral 10,226, 14.2%. For gap insurance 3,503, 4.9%. 1,626, 2.3%.

Mental Health

Mental Health Status

In general, how would you rate your overall mental health?

Mental Health Status pie chart rating overall mental health. For excellent 18%, 250,911. For very good 30.5%, 424.361. For good 29.6%, 412,774. For fair 17.3%, 241,675. For poor 4.6%, 63,408.

Suicide Risk and Mental Health

Icon of a head with the outline of a brain.372,665 (27.5%) People who have thought about or attempted suicide

Icon of a head with the outline of a brain, and a no symbol over it.20,266 (26.6%) People who have thought about or attempted suicide and are NOT currently receiving counseling or therapy for mental health

Substance Use

Alcohol Binge Drinking and Drug Usage

Icon of multiple bottles of alcohol. 222,085 (15.9%) People who have had some type of binge drinking in the past 30 days (imputed)

Icon of a medicine pill bottle. 359,880 (25.8%) People who have used some type of drugs in the past 12 months (imputed)

Cigarette Smoking Frequency

How often do you now smoke cigarettes?

Cigarette Smoking Frequency pie chart. For every day 17.5%, 242,271. For some days 3.2%, 43,876. For not at all 79.4%, 1,099,969.

COVID-19

Long-term Effect from Having COVID-19

Have you experienced any long-term emotional or mental health effects that you think might be related to you having COVID-19?

Long-term mental and emotional effects from having COVID-19 pie chart. For I have not had COVID-19 64.5%, 885,483. For yes 7.4%, 102,171. For no 28.1%, 384,226.

Long-term Effect of Others Having COVID-19

Have you experienced any long-term emotional or mental health effects that you think might be related to a family member or friend having COVID-19?

Long-term mental and emotional effect of others having COVID-19 pie chart. For I am not aware of any family members or friends who have had COVID-19 26.2%, 361,097. For yes 14.5%, 200,656. For no 59.3%, 818,330.

Impacts from COVID-19

Have you or someone in your household experienced any of the following because of COVID-19?

COVID-19 work impacts bar graph. For Unable to pay credit card bill 259,662, 19.1%. For fewer hours/less demand for work 229,614, 16.9%. For unable to pay rent/mortgage 188,950, 13.9%. For laid off temporarily 187,299, 13.8%. For taken unpaid leave 182,431, 13.5%. For did less temporary work, contract, freelance work 129,345, 9.6%. For wages or salary reduced 125,390, 9.3%. For quit job 115,218, 8.5%. For laid off permanently 69,221, 5.1%. For unpaid or delayed wages 65,586, 4.9%. For fired from job 52,472, 3.9%. For lost employer-paid benefits 48,159, 3.6%.

Because of the impact of COVID-19, have you or your household done any of the following?

COVID-19 monetary impacts bar graph. For cut back on spending on food 487,603, 35.7%. For used up all/most of savings 431,292, 31.6%. For increased credit card debt 330,827, 24.3%. For borrowed money from family/friends 315,414, 23,1%. For pawned or sold possessions 227,276, 16.7%. For took out money out of retirement, college/savings 218,237 16.1%. For received unemployment benefits 195,772, 14.4%.

Overall Health

General Health Status

In general, how would you describe your health?

General health status bar graph. For excellent 129,586, 9.3%. For very good 410,142, 29.5%. For good 514,660, 37%. For fair 266,256, 19.1%. For poor 71,185, 5.1%.

Health Conditions

Have you ever been told by a doctor, nurse, or other healthcare provider that you have any of the following conditions?

Health conditions bar graph. For hypertension 586,559, 43.2%. For chronic pain 343,852, 26.1. For diabetes 238,553, 18.1%. For asthma 210,776, 16.2%. For Chronic Obstructive Pulmonary Disease (COPD) 139,333, 10.7%. For cardiovascular disease 137,998, 10.6%. For Attention Deficit Hyperactivity Disorder (ADHD) 127,622, 9.9%. For kidney disease/damage 85,978 6.6%. For liver disease 44,317, 3.4%. For Hepatitis C 31,630, 2.5%. For Hashimoto's disease 25,252, 2%. For Endocarditis 7,384, 0.6%. For HIV/AIDS 3,973, 0.3%.

Run an Analysis

Summarize Data

The Summarize Data area gives you the ability to view the data summary on topics and variables of interest. You will be able to run an analysis to display variables in columns and stratified by rows. For categorical variables, you will see the numbers and percentages. For continuous variables, you will see medians and interquartile ranges (IQR). By adding stratification (row) variables, results for column variables will be shown by selected groups. Select “Summarize Data” to get started.

Analyze Associations

The Analyze Associations area gives you the ability to test for statistical associations between one dependent variable and one or more independent variables. Depending on the dependent variable and categories selected/filtered, you will be able to run an analysis to see a logistic model for logistic regression, ordinal logistic regression, or multinomial logistic regression. All results use survey weights to account for the survey design. Select “Analyze Associations” to get started.