Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McLennan County, TX
Series ID MHICIUBTX48309A052NCEN
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 1:51 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 24692
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28630
1994-01-01 .
1995-01-01 33088
1996-01-01 .
1997-01-01 34771
1998-01-01 36137
1999-01-01 35490
2000-01-01 37109
2001-01-01 35684
2002-01-01 35728
2003-01-01 36332
2004-01-01 37426
2005-01-01 37723
2006-01-01 38447
2007-01-01 41872
2008-01-01 42483
2009-01-01 41513
2010-01-01 41911
2011-01-01 42535
2012-01-01 43188
2013-01-01 43496
2014-01-01 45906
2015-01-01 48054
2016-01-01 48726
2017-01-01 49912
2018-01-01 51737
2019-01-01 53892
2020-01-01 60317
2021-01-01 62909
2022-01-01 66952

Subscribe to the FRED newsletter


Follow us

Back to Top