Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coryell County, TX
Series ID MHICILBTX48099A052NCEN
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 1:11 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 21365
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26406
1994-01-01 .
1995-01-01 27314
1996-01-01 .
1997-01-01 30093
1998-01-01 31981
1999-01-01 32113
2000-01-01 33519
2001-01-01 33642
2002-01-01 33312
2003-01-01 32850
2004-01-01 32855
2005-01-01 36201
2006-01-01 39783
2007-01-01 41828
2008-01-01 45530
2009-01-01 39296
2010-01-01 41793
2011-01-01 44536
2012-01-01 43306
2013-01-01 47984
2014-01-01 43534
2015-01-01 42368
2016-01-01 47617
2017-01-01 48791
2018-01-01 43512
2019-01-01 50633
2020-01-01 54601
2021-01-01 56183
2022-01-01 59552

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