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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Robertson County, TX
Series ID MHICILBTX48395A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 14606
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17408
1994-01-01 .
1995-01-01 18966
1996-01-01 .
1997-01-01 20481
1998-01-01 21446
1999-01-01 25664
2000-01-01 27309
2001-01-01 27425
2002-01-01 27795
2003-01-01 28798
2004-01-01 30005
2005-01-01 29940
2006-01-01 31164
2007-01-01 32223
2008-01-01 33440
2009-01-01 33479
2010-01-01 34412
2011-01-01 34336
2012-01-01 36511
2013-01-01 36740
2014-01-01 39324
2015-01-01 51218
2016-01-01 38146
2017-01-01 40232
2018-01-01 40865
2019-01-01 41342
2020-01-01 49552
2021-01-01 44903
2022-01-01 51887
2023-01-01 53794
2024-01-01 55910

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