Almost half (47%) of U.S. counties or equivalents gained population between 2010 and 2020 (Figure 1).
Five counties (metro areas in parentheses) gained at least 300,000 people during that period: Harris County, Texas (Houston-The Woodlands-Sugar Land); Maricopa County, Arizona (Phoenix-Mesa-Chandler); King County, Washington (Seattle-Tacoma-Bellevue); Clark County, Nevada (Las Vegas-Henderson-Paradise); and Tarrant County, Texas (Dallas-Fort Worth-Arlington).
California’s Los Angeles County remained the largest county in 2020, crossing the 10.0 million-person mark between 2010 and 2020.
Author(s): PAUL MACKUN, JOSHUA COMENETZ, AND LINDSAY SPELL
This paper considers the 2020 Census national and state-level resident population counts in historical and evaluative contexts. By comparing the first results of the 2020 Census against benchmark data sources, we examine how the nation has changed at the highest levels and set the stage for the comprehensive analyses still to come.
Among all households in 2018, 92% had at least one type of computer and 85% had a broadband internet subscription. The ACS considers desktops, laptops, tablets, and smartphones as computers, along with selected computing technologies such as smart home devices and single-board computers.
Smartphone ownership surpassed ownership of all other computing devices. Smartphones were present in 84% of households, while 78% of households owned a desktop or laptop. Tablet ownership fell behind at 63%.
Urban residents were more likely than rural residents to use computing devices (93% of urban households compared to 89% of rural households) and were more likely to have any sort of internet subscription (86% of urban households compared to 81% of rural households).
Based on the bureau’s estimates, the latest tally is likely to show that the growth in the number of people living in the U.S. has slowed to the lowest rate the country has seen since the 1940 census was conducted in the wake of the Great Depression. Disruptions from COVID-19 during last year’s counting, however, have made shifts in each state’s population particularly hard to predict.
Last year’s tally was the country’s 24th census — a once-a-decade tradition required by the Constitution since 1790 — and it is the ninth count for which the U.S. government has attempted to include every person living in the country in the numbers used for reapportioning seats in Congress. Before the 1940 census, the phrase “excluding Indians not taxed” in the Constitution excluded some American Indians from the apportionment counts.
Those who substituted some or all of their typical in-person work for telework tended to have higher household incomes than those who did not switch to telework.
In the highest-earning households — those with annual incomes of $200,000 or more — 73.1% switched to telework (Figure 1). This is more than double the percentage (32.1%) of households with incomes between $50,000 and $74,999, a range that includes the 2019 median U.S. household income ($65,712).
Lowest-earning households were less likely to switch to telework. Only 12.7% of households earning under $25,000 reported teleworking in lieu of in-person work.
Author(s): JOEY MARSHALL, CHARLYNN BURD, MICHAEL BURROWS
From Feb. 3- 15, about one in 10 (9.4%) U.S. households reported using unemployment insurance to meet spending needs.
About 16.0% of households that used unemployment insurance and had a mortgage or were renting reported having no confidence in their ability to meet their next month’s rent or mortgage payment — higher than the 6.2% of households that had a mortgage or were renting that did not use unemployment insurance.
In addition, about one in six households (16.1%) that used unemployment insurance reported that it was very likely that they would experience eviction or foreclosure in the next two months.
So far in 2020 Census processing, 27 of the 33 anomalies we’ve found are of this type. Let me give a couple of examples.
Miscalculating age for missing birthdays. We found that our system was miscalculating ages for people who included their year of birth but left their birthday and month blank. We fixed this with a simple code correction. Making sure ages calculate correctly helps us with other data processing steps for matching and removing duplicate responses.
Incorrectly sorting out self-responses from group quarters residents. The 2020 Census allowed people to respond online or by phone without using the pre-assigned Census ID that links their response to their address. As a result, some people who live in group quarters facilities, such as nursing homes, were able to respond on their own even though they were also counted through the separate Group Quarters Enumeration operation. This also makes their address show up as a duplicate — as both a group quarters facility and a housing unit. Our business rules sort out these duplicate responses and addresses by accepting the response coming from the group quarters operation and removing the response and address appearing as a housing unit. We found an error in how this rule was being carried out. The code was correctly removing the duplicate address but wasn’t removing the duplicate response. We fixed this with another code correction, which enables us to avoid overcounting these residents.
Author(s): MICHAEL THIEME, ASSISTANT DIRECTOR FOR DECENNIAL CENSUS PROGRAMS, SYSTEMS AND CONTRACTS
As with geography, job loss was more widespread than excess mortality across age groups.
In April 2020, excess mortality increased with age and was largest among the oldest age group. Individuals ages 85 and older represent only 3% of the total U.S. population ages 25 years and older but accounted for 34% of the overall excess mortality in the country.
On the other hand, employment displacement decreased with age. It was largest among the younger age group (ages 25 to 44). These individuals make up only 39% of the U.S. population ages 25 and older but accounted for about half of the people 25 and older who lost their jobs nationwide.
This brief highlights the geographic distribution of same-sex couple households, and explores selected characteristics of opposite sex and same-sex couples using data from the 2019 American Community Survey. In addition, the brief examines the presence of children based on couple type.
Excel is a very popular tool among all data users. It can be leveraged to unlock the value of open data of all kinds, and it is particularly well-suited to transforming, analyzing, and visualizing Census data. This course will show how to use Excel to access, manipulate, and visualize Census data. It will also tools for doing advanced statistical analysis.
After completing this course, you will be able to: ✓ Access data from the Census Bureau using the American FactFinder ✓ Format tables for data analysis ✓ Perform basic and advanced analysis of Census data using Excel ✓ Create data visualizations such as sparklines, hierarchical charts, and histograms