Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Potter County, TX
Series ID MHICIUBTX48375A052NCEN
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 1:51 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 22868
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25205
1994-01-01 .
1995-01-01 29750
1996-01-01 .
1997-01-01 30917
1998-01-01 32207
1999-01-01 30703
2000-01-01 32420
2001-01-01 31396
2002-01-01 31290
2003-01-01 31747
2004-01-01 32257
2005-01-01 31725
2006-01-01 34470
2007-01-01 34700
2008-01-01 39244
2009-01-01 37957
2010-01-01 38107
2011-01-01 38266
2012-01-01 38187
2013-01-01 40119
2014-01-01 40700
2015-01-01 43266
2016-01-01 44770
2017-01-01 46988
2018-01-01 45029
2019-01-01 44994
2020-01-01 50725
2021-01-01 49779
2022-01-01 54049

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