Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Liberty County, TX
Series ID MHICIUBTX48291A052NCEN
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 26292
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29239
1994-01-01 .
1995-01-01 33067
1996-01-01 .
1997-01-01 34737
1998-01-01 36468
1999-01-01 37987
2000-01-01 40244
2001-01-01 39785
2002-01-01 40131
2003-01-01 40744
2004-01-01 41696
2005-01-01 40203
2006-01-01 44582
2007-01-01 48353
2008-01-01 52609
2009-01-01 49020
2010-01-01 50448
2011-01-01 49761
2012-01-01 52180
2013-01-01 50081
2014-01-01 50946
2015-01-01 57279
2016-01-01 53183
2017-01-01 55339
2018-01-01 56054
2019-01-01 58042
2020-01-01 68292
2021-01-01 63239
2022-01-01 67847

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