Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for King County, TX
Series ID MHICILBTX48269A052NCEN
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 21408
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30448
1994-01-01 .
1995-01-01 26916
1996-01-01 .
1997-01-01 29133
1998-01-01 29879
1999-01-01 31845
2000-01-01 34265
2001-01-01 34360
2002-01-01 33023
2003-01-01 33559
2004-01-01 35246
2005-01-01 39636
2006-01-01 34926
2007-01-01 37785
2008-01-01 40241
2009-01-01 45131
2010-01-01 43266
2011-01-01 45890
2012-01-01 47916
2013-01-01 51031
2014-01-01 58525
2015-01-01 63422
2016-01-01 52533
2017-01-01 50561
2018-01-01 51453
2019-01-01 62407
2020-01-01 65739
2021-01-01 65425
2022-01-01 76545

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