Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Polk County, TX
Series ID MHICIUBTX48373A052NCEN
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 2:31 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 20769
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24116
1994-01-01 .
1995-01-01 29943
1996-01-01 .
1997-01-01 30632
1998-01-01 33130
1999-01-01 34482
2000-01-01 35969
2001-01-01 35010
2002-01-01 36389
2003-01-01 37427
2004-01-01 38883
2005-01-01 35672
2006-01-01 36673
2007-01-01 40020
2008-01-01 39377
2009-01-01 39419
2010-01-01 41842
2011-01-01 41235
2012-01-01 43478
2013-01-01 43000
2014-01-01 44938
2015-01-01 46466
2016-01-01 46870
2017-01-01 48781
2018-01-01 50049
2019-01-01 54518
2020-01-01 54271
2021-01-01 56721
2022-01-01 64028
2023-01-01 63001

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