Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Potter County, TX
Series ID MHICILBTX48375A052NCEN
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 18337
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20679
1994-01-01 .
1995-01-01 23597
1996-01-01 .
1997-01-01 24763
1998-01-01 26117
1999-01-01 26959
2000-01-01 27916
2001-01-01 27341
2002-01-01 27249
2003-01-01 27993
2004-01-01 28450
2005-01-01 28907
2006-01-01 30924
2007-01-01 30893
2008-01-01 34732
2009-01-01 33170
2010-01-01 32539
2011-01-01 33114
2012-01-01 33321
2013-01-01 34613
2014-01-01 35748
2015-01-01 37440
2016-01-01 38356
2017-01-01 40568
2018-01-01 38795
2019-01-01 37282
2020-01-01 41081
2021-01-01 42029
2022-01-01 48007

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