Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Liberty County, TX
Series ID MHICILBTX48291A052NCEN
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 21790
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24780
1994-01-01 .
1995-01-01 26938
1996-01-01 .
1997-01-01 28612
1998-01-01 30374
1999-01-01 33230
2000-01-01 34630
2001-01-01 34575
2002-01-01 34869
2003-01-01 35824
2004-01-01 36703
2005-01-01 34654
2006-01-01 38576
2007-01-01 43964
2008-01-01 44139
2009-01-01 41595
2010-01-01 43092
2011-01-01 41663
2012-01-01 44702
2013-01-01 42271
2014-01-01 43300
2015-01-01 49825
2016-01-01 44001
2017-01-01 45501
2018-01-01 49100
2019-01-01 48506
2020-01-01 54168
2021-01-01 51109
2022-01-01 55913

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