Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hamilton County, TX
Series ID MHICILBTX48193A052NCEN
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 14489
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18733
1994-01-01 .
1995-01-01 19878
1996-01-01 .
1997-01-01 22177
1998-01-01 23479
1999-01-01 27532
2000-01-01 28967
2001-01-01 28123
2002-01-01 27629
2003-01-01 28473
2004-01-01 30662
2005-01-01 30907
2006-01-01 32240
2007-01-01 33607
2008-01-01 34218
2009-01-01 34545
2010-01-01 35983
2011-01-01 34161
2012-01-01 34128
2013-01-01 35640
2014-01-01 36973
2015-01-01 42066
2016-01-01 41252
2017-01-01 39368
2018-01-01 44126
2019-01-01 46348
2020-01-01 44579
2021-01-01 47185
2022-01-01 52516

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