Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for McLennan County, TX
Series ID MHICILBTX48309A052NCEN
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 20438
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24382
1994-01-01 .
1995-01-01 27442
1996-01-01 .
1997-01-01 28966
1998-01-01 30363
1999-01-01 31323
2000-01-01 32189
2001-01-01 31266
2002-01-01 31311
2003-01-01 32197
2004-01-01 33153
2005-01-01 34619
2006-01-01 35099
2007-01-01 39045
2008-01-01 37962
2009-01-01 36413
2010-01-01 37329
2011-01-01 38591
2012-01-01 38522
2013-01-01 38636
2014-01-01 41070
2015-01-01 44474
2016-01-01 44598
2017-01-01 44700
2018-01-01 45979
2019-01-01 48264
2020-01-01 49979
2021-01-01 54139
2022-01-01 59368

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