Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coleman County, TX
Series ID MHICILBTX48083A052NCEN
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 14682
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16169
1994-01-01 .
1995-01-01 16503
1996-01-01 .
1997-01-01 18586
1998-01-01 19139
1999-01-01 23207
2000-01-01 24469
2001-01-01 23981
2002-01-01 23697
2003-01-01 23858
2004-01-01 25342
2005-01-01 24680
2006-01-01 25804
2007-01-01 27475
2008-01-01 27666
2009-01-01 27415
2010-01-01 27848
2011-01-01 28680
2012-01-01 29202
2013-01-01 29775
2014-01-01 34767
2015-01-01 32325
2016-01-01 40083
2017-01-01 31709
2018-01-01 35586
2019-01-01 40912
2020-01-01 37641
2021-01-01 37237
2022-01-01 40544

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