Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Roberts County, TX
Series ID MHICILBTX48393A052NCEN
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 26443
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32333
1994-01-01 .
1995-01-01 31197
1996-01-01 .
1997-01-01 31053
1998-01-01 35420
1999-01-01 38602
2000-01-01 41238
2001-01-01 41508
2002-01-01 41124
2003-01-01 41583
2004-01-01 46044
2005-01-01 49469
2006-01-01 47276
2007-01-01 52649
2008-01-01 56875
2009-01-01 56419
2010-01-01 52710
2011-01-01 53440
2012-01-01 57380
2013-01-01 63414
2014-01-01 62752
2015-01-01 64440
2016-01-01 68824
2017-01-01 60960
2018-01-01 59965
2019-01-01 62948
2020-01-01 58966
2021-01-01 64049
2022-01-01 62069

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