Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bastrop County, TX
Series ID MHICILBTX48021A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 20316
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25365
1994-01-01 .
1995-01-01 28402
1996-01-01 .
1997-01-01 30944
1998-01-01 33006
1999-01-01 37684
2000-01-01 40130
2001-01-01 39948
2002-01-01 40004
2003-01-01 41050
2004-01-01 41533
2005-01-01 43293
2006-01-01 46544
2007-01-01 48460
2008-01-01 47494
2009-01-01 45985
2010-01-01 46234
2011-01-01 47513
2012-01-01 46102
2013-01-01 46066
2014-01-01 48422
2015-01-01 52255
2016-01-01 51576
2017-01-01 57832
2018-01-01 56005
2019-01-01 55619
2020-01-01 69306
2021-01-01 65602
2022-01-01 67826
2023-01-01 69828

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