Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clay County, TX
Series ID MHICILBTX48077A052NCEN
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 3:12 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 21409
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25035
1994-01-01 .
1995-01-01 25732
1996-01-01 .
1997-01-01 29286
1998-01-01 30826
1999-01-01 32042
2000-01-01 33652
2001-01-01 34160
2002-01-01 34542
2003-01-01 35661
2004-01-01 36635
2005-01-01 38012
2006-01-01 40308
2007-01-01 42630
2008-01-01 44215
2009-01-01 45271
2010-01-01 43287
2011-01-01 44237
2012-01-01 48859
2013-01-01 45588
2014-01-01 45810
2015-01-01 46455
2016-01-01 44076
2017-01-01 47809
2018-01-01 53581
2019-01-01 54429
2020-01-01 54294
2021-01-01 53797
2022-01-01 58768
2023-01-01 67165

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