Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Culberson County, TX
Series ID MHICILBTX48109A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 13319
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16576
1994-01-01 .
1995-01-01 14946
1996-01-01 .
1997-01-01 17255
1998-01-01 18083
1999-01-01 21556
2000-01-01 23508
2001-01-01 22689
2002-01-01 22649
2003-01-01 22249
2004-01-01 22989
2005-01-01 23731
2006-01-01 23735
2007-01-01 25572
2008-01-01 27071
2009-01-01 27025
2010-01-01 27684
2011-01-01 27913
2012-01-01 28440
2013-01-01 29657
2014-01-01 30075
2015-01-01 31527
2016-01-01 32712
2017-01-01 33645
2018-01-01 37452
2019-01-01 38999
2020-01-01 40009
2021-01-01 42124
2022-01-01 45641
2023-01-01 47086

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