Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Coryell County, TX
Series ID MHICIUBTX48099A052NCEN
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 26041
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30973
1994-01-01 .
1995-01-01 33455
1996-01-01 .
1997-01-01 36408
1998-01-01 38270
1999-01-01 36844
2000-01-01 39261
2001-01-01 38942
2002-01-01 38561
2003-01-01 37576
2004-01-01 37519
2005-01-01 42057
2006-01-01 43547
2007-01-01 47567
2008-01-01 51086
2009-01-01 46410
2010-01-01 49069
2011-01-01 51192
2012-01-01 48958
2013-01-01 52338
2014-01-01 50502
2015-01-01 49610
2016-01-01 52627
2017-01-01 54181
2018-01-01 52686
2019-01-01 55533
2020-01-01 62195
2021-01-01 63253
2022-01-01 67304

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