Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for McCulloch County, TX
Series ID MHICILBTX48307A052NCEN
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 1:53 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 13140
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17015
1994-01-01 .
1995-01-01 18242
1996-01-01 .
1997-01-01 20418
1998-01-01 20876
1999-01-01 23842
2000-01-01 25112
2001-01-01 24890
2002-01-01 25175
2003-01-01 26580
2004-01-01 27547
2005-01-01 26283
2006-01-01 27733
2007-01-01 28462
2008-01-01 29515
2009-01-01 32126
2010-01-01 29316
2011-01-01 32767
2012-01-01 33001
2013-01-01 34729
2014-01-01 35928
2015-01-01 35794
2016-01-01 36279
2017-01-01 35830
2018-01-01 38678
2019-01-01 38080
2020-01-01 41890
2021-01-01 38424
2022-01-01 40261

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