Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kent County, TX
Series ID MHICILBTX48263A052NCEN
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 1:11 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 16713
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20176
1994-01-01 .
1995-01-01 23345
1996-01-01 .
1997-01-01 24712
1998-01-01 25180
1999-01-01 28366
2000-01-01 29477
2001-01-01 29243
2002-01-01 29024
2003-01-01 31557
2004-01-01 30614
2005-01-01 28791
2006-01-01 32444
2007-01-01 32943
2008-01-01 32211
2009-01-01 33735
2010-01-01 33764
2011-01-01 39126
2012-01-01 34801
2013-01-01 37061
2014-01-01 39111
2015-01-01 40574
2016-01-01 40331
2017-01-01 40331
2018-01-01 42320
2019-01-01 46212
2020-01-01 45469
2021-01-01 47438
2022-01-01 50764

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