Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Robertson County, TX
Series ID MHICIUBTX48395A052NCEN
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 19145
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21982
1994-01-01 .
1995-01-01 25128
1996-01-01 .
1997-01-01 26701
1998-01-01 27618
1999-01-01 29302
2000-01-01 31764
2001-01-01 31499
2002-01-01 31951
2003-01-01 32667
2004-01-01 34041
2005-01-01 36028
2006-01-01 37252
2007-01-01 38863
2008-01-01 40997
2009-01-01 41043
2010-01-01 39458
2011-01-01 41810
2012-01-01 43031
2013-01-01 44522
2014-01-01 47064
2015-01-01 56052
2016-01-01 47214
2017-01-01 48478
2018-01-01 48969
2019-01-01 52690
2020-01-01 60884
2021-01-01 56729
2022-01-01 63705

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