Differences in Statistics about Births to Unmarried Women

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Written by: Rose M. Kreider

Today, the U.S. Census Bureau released a new report from the American Community Survey (ACS) looking at women aged 15 to 50 who gave birth in the last year and were unmarried at the time of the survey.

As of 2011, 62 percent of women age 20 to 24 who gave birth in the previous 12 months were unmarried. This compares with 17 percent among women age 35 to 39.

The ACS provides a variety of characteristics of mothers, providing detailed information about differences among groups of mothers. For example, the report released today highlights that the proportion of recent births to unmarried women varies widely by educational attainment and household income level.

The report shows us that more than half (57 percent) of women with less than a high school degree in 2011, who had given birth in the past year were unmarried, the highest percentage among the education groups. In contrast, only 9 percent of recent mothers with a bachelor’s degree or higher were unmarried.

In addition to the statistics available from the ACS, you can also find information from the National Vital Statistics System (NVSS), which tracks births to women living in the United States throughout the year. Overseen by the National Center for Health Statistics (NCHS), the NVSS provides administrative counts of births in the United States and basic characteristics of the mothers such as age, race and marital status. However, the detailed characteristics from the ACS allow us to provide a fuller profile of differences among groups of mothers, such as educational attainment, income and nativity.

We see two main differences between these two data sets. 

First, the NCHS’s vital statistics system records information on all births. On the other hand, the ACS is a survey, and while it is nationally representative, it does not have information on every birth that occurred in the United States. 

Second, the time frames covered by vital statistics and the ACS are quite different.  Birth records reported through the vital statistics system are collected at the time of the birth itself and reported for a one-year period. The ACS is a continuous survey that interviews respondents throughout a calendar year, asking them whether they had a birth in the 12 months prior to the interview. So, births reported in the 2011 ACS data could have occurred as early as January 2010 or as late as December 2011.

The difference in time frame affects other characteristics as well, including marital status and place of residence. ACS respondents report their marital status at the time of the interview, which may differ from their marital status at the time of the birth. It is possible that some of the respondents who indicate in the ACS that they are unmarried and had a birth in the last 12 months may have been married at the time of the birth, even though they were unmarried at the time of the survey. It is also possible that some of the respondents who indicated that they are married and had a birth in the last year were unmarried at the time of the birth but got married before the survey interview date.

Another source of differences between vital statistics counts and ACS estimates is that birth certificates are filed at the place where the birth occurred, while the ACS records the place the mother is living at the time of the survey, provided she has resided there more than two months.

Despite these differences, the ACS offers the important advantage of collecting a vast range of social demographic, and economic information about the women to whom these births occurred and the households in which they lived. The NVSS provides administrative counts on overall numbers of births.

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Is the Fiscal Health of State Governments Improving?

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Written By: Lynly Lumibao

Taxes are a major source of revenue for state governments in the United States, representing nearly half of state government revenue over the last 10 years. Along with taxes, other general revenue activities for state governments include intergovernmental revenue (such as shared taxes and grants from other governments), operational revenue (charges for services or products), and miscellaneous revenue (all other general revenue).

Fiscal year 2012 marked the second consecutive year of state tax collection growth, bringing in revenues of $794.6 billion for state governments, an increase of $34.3 billion from 2011. Is this a sign that the fiscal health of state governments is improving?

Statistics released today by the Census Bureau provide a look at the tax collections of U.S. state governments. These data, coming from the 2012 Annual Survey of State Government Tax Collections, serve as one of the indicators of a state’s fiscal health. Additionally, this survey is our first look at finance data from the 2012 Census of Governments. One of the functions of the 2012 Census of Governments is to provide authoritative benchmark data on public finance, including taxes.

So how do we define these tax revenues? Presented in the infographic available here is a definition of the five broad categories of taxes, including property taxes, sales and gross receipts taxes, license taxes, income taxes, and other taxes.  Below the definitions of the five tax categories, we show a breakdown of the total percentage of state tax revenue. The different categories of tax revenue show us the foundation of a state’s resources.

In 2012, the largest category of state government tax revenue is sales and gross receipts, at $374.8 billion (47.2 percent). Sales and gross receipts taxes is distinguished between general sales and selective sales. Other drivers of state tax revenue were income taxes, which represented  $322.1 billion (40.5 percent) of total state tax collections and license taxes measured at $54.0 billion (6.8 percent of total state tax revenue).

Although these new statistics provide a positive reflection of state tax collections, it is still not enough data to determine whether state government revenues will continue to increase. Between 2001 and 2006, total state tax revenue increased by 27.9 percent from $559.7 billion to $716.0 billion—a rapid rate of growth. Between 2007 and 2012, we see that rapid growth decline, and total state tax revenue increased slightly by 4.9 percent, a decline of 23 percentage points from 2001 to 2006. Before 2009, total state tax collections experienced an increase each year.  In 2009, states began to see a decline in their tax revenue receipts. Total state tax collections only started to report positive growth again in 2011. While this continued growth in tax revenue for 2012 is good news for state governments, the pace of growth is still moderate.

For more details, please see the 2012 Annual Survey of State Government Tax Collections page.

These data are also now in American FactFinder, the first survey from the Census Bureau’s Governments Division included in this online data search program.

Read the news release.

For more information on the 2012 Census of Governments, please see the 2012 Census of Governments page.

Infographic

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Get the LED Out! – Easier Access to Powerful Labor Force Information

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Written by: Heath Hayward

Do you need information on the changing composition of the workforce through the recent recession? Or evidence of the job creation ability of young firms? Answer questions like these and many more with the Quarterly Workforce Indicators (QWI) dataset available through the new Local Employment Dynamics (LED) Extraction Tool.

Screenshot of LED extraction toolThe LED Extraction Tool makes all 30 indicators (which include measures on employment, turnover, hiring, job creation, job destruction, average monthly earnings, and many more) available through an intuitive query-building interface. Rather than having to download large and cumbersome tables from the Virtual Research Data Center on the Cornell University’s website, users can now extract the exact rows they need for analysis directly from the Census Bureau.

Economic development analysts, policy-makers and academics can analyze the raw comma-separated value (csv) QWI data by geography (i.e. State, County, Metro/Micro Area, or Workforce Investment Area), firm characteristics (i.e. firm age/size and industry classification), worker characteristics (i.e. age, sex, race, ethnicity, educational attainment), and time. Users can extract geographic or industry clusters in a few simple steps without having to download entire raw data files.

What are Quality Workforce Indicators used for?

These data have played a significant role in uncovering demographic and longitudinal trends in the nation’s changing labor force. A recent study by the Ewing Marion Kauffman Foundation using QWIs found that young firms are leading the recovery through increased hiring and job creation. Another study done by Oregon Employment Department utilized QWI data by examining the changes in Oregon’s employment by gender through the recession and subsequent recovery. In addition, an article in Local Insights, which is a publication that provides economic and labor market analysis of the Wasatch Front North Area in Utah, addressed different aspects of the educational attainment of workers, including the industry to which they are attached, the average monthly wages, and wage differences according to gender.

In future updates, other data products showing local employment dynamics will be made available through the LED Extraction Tool, including the LEHD Origin-Destination Employment Statistics (LODES) dataset/ If you would like to learn more, visit the LEHD homepage.

 

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Household Wealth and Debt in the U.S.: 2000 to 2011

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Written by: Alfred Gottschalck, Marina Vornovytskyy, and Adam Smith

Wealth and debt are important bellwethers of household financial security and prospects in the United States. Wealth tends to increase in times of economic prosperity when households are able to grow their assets and fall when households draw on accumulated financial resources in times of economic hardship. Debt, on the other hand, is often used by households in times of economic prosperity to finance large purchases – such as a home or a vehicle – or to pay for a household member’s education. Households may also take on debt to help them get through a period of unemployment or to help pay for medical care.

Did you know that changes in overall median net worth observed over the past decade have been driven primarily by changes in one of its major components – equity that American households hold in their homes? Today the Census Bureau released sets of detailed tables on wealth and debt in the United States in 2011, accompanied by analysis of how statistics that appear in these tables have changed over the past decade.

The detailed tables on wealth examine median values of assets and asset ownership rates for households in 2011. These wealth tables are a unique product, since the sample size of the Survey of Income and Program Participation (SIPP), which is the source of these statistics, allows comparisons of the assets of small groups, especially  those that tend to be under-represented in other surveys (such as low income households). The detailed wealth tables have been published by the Census Bureau since 1984.

Included in the tables are such characteristics of the householder as race and Hispanic origin, age, education, region, income quintile, region, and labor force status. The current release is accompanied by an analysis describing how household wealth has changed in the United States between 2000 and 2011. Overall, median household net worth decreased by $12,993, or 16 percent, between 2000 and 2011.

The detailed tables on household debt, also released today, are a new product. These tables show household debt by detailed characteristics of the householder, again taking advantage of the sample size in SIPP that makes it possible. They are also accompanied by an analysis of how household debt has changed in the United States over the past decade.

Did you know that a smaller percentage of households held debt in 2011 relative to 2000? In 2011, 69 percent of U.S. households held some form of debt. This represents a decrease from 2000 when 74 percent of U.S. households held debt. At the same time, median household debt has increased over the past decade:  from $50,971 in 2000 to $70,000 in 2011.

For additional wealth and debt statistics by select demographic and economic characteristics, please see http://www.census.gov/people/wealth/, “Household Wealth in the U.S.: 2000 to 2011,” and “Household Debt in the U.S.: 2000 to 2011.”

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The Occupations of Workers with Disabilities

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Written by: Melissa Chiu

Did you know that there are 7.9 million Americans who have a disability and are working? Also, another 1.5 million Americans with a disability are unemployed and looking for work?

Information released today by the U.S. Census Bureau’s American Community Survey provides a detailed look at the employment characteristics of people with a disability. This is the first time the Census Bureau has provided in-depth information about the occupation, earnings, and education of people with a disability.

These statistics show that some of the jobs with the highest concentrations of workers who have a disability include dishwashers, janitors and building cleaners, and personal care aides. Not only do these jobs typically pay low wages, but people with a disability also tend to earn less than people with no disability. In fact, people with a disability are about 50 percent more likely to earn less than $15,000 a year, compared with people with no disability.

This earnings gap between people with and with no disability exists even if they are doing the same type of work. Even so, this earnings difference is more severe in certain occupations than in others. For example, half of janitors who have a disability, compared with about a third of janitors with no disability, earn less than $15,000 a year. In contrast, cashiers have, on average, little or no earnings differences by disability status.

The information released today provides users the tools to examine the diversity of the labor force, by disability status, across many levels of geography to support a variety of needs. In addition to examining equal pay issues, state governments may evaluate state policies. Local communities may study employment and labor force diversity within their county. Since there is information on the education level of people with disabilities, the statistics can also help identify skill gaps. We hope researchers and business leaders will use this rich information source to learn more about the workforce of people with a disability.

These estimates, and more, are easily accessible through the American FactFinder online statistics search tool. For more details, visit the Disability Employment Tabulation page.

Earnings of Employed Population by Disability Status

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