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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dallas County, TX

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dallas County, TX
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:09 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
1989-01-01 32153
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35372
1994-01-01 .
1995-01-01 39862
1996-01-01 .
1997-01-01 43187
1998-01-01 45004
1999-01-01 44232
2000-01-01 46091
2001-01-01 44822
2002-01-01 43600
2003-01-01 43401
2004-01-01 44128
2005-01-01 43848
2006-01-01 45691
2007-01-01 47253
2008-01-01 47807
2009-01-01 46886
2010-01-01 47644
2011-01-01 48112
2012-01-01 48256
2013-01-01 48930
2014-01-01 51067
2015-01-01 52475
2016-01-01 55524
2017-01-01 57805
2018-01-01 60852
2019-01-01 62688
2020-01-01 67355
2021-01-01 64906
2022-01-01 72909

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