Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tarrant County, TX
Series ID MHICIUBTX48439A052NCEN
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.
DATE VALUE
1989-01-01 34032
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39716
1994-01-01 .
1995-01-01 43278
1996-01-01 .
1997-01-01 45360
1998-01-01 47110
1999-01-01 48222
2000-01-01 51483
2001-01-01 50784
2002-01-01 50602
2003-01-01 50371
2004-01-01 51418
2005-01-01 50190
2006-01-01 52607
2007-01-01 54510
2008-01-01 57149
2009-01-01 54766
2010-01-01 53527
2011-01-01 54110
2012-01-01 57140
2013-01-01 57970
2014-01-01 59436
2015-01-01 61475
2016-01-01 62507
2017-01-01 66602
2018-01-01 67385
2019-01-01 71458
2020-01-01 74148
2021-01-01 73156
2022-01-01 78433

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