Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Spencer County, KY
Series ID MHICIUBKY21215A052NCEN
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 1:52 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 27881
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31619
1994-01-01 .
1995-01-01 34859
1996-01-01 .
1997-01-01 37135
1998-01-01 42204
1999-01-01 47817
2000-01-01 50984
2001-01-01 51461
2002-01-01 53414
2003-01-01 55576
2004-01-01 57484
2005-01-01 59142
2006-01-01 62158
2007-01-01 65931
2008-01-01 69555
2009-01-01 68100
2010-01-01 68230
2011-01-01 66826
2012-01-01 71151
2013-01-01 70856
2014-01-01 74274
2015-01-01 74019
2016-01-01 78237
2017-01-01 86473
2018-01-01 90803
2019-01-01 89145
2020-01-01 94114
2021-01-01 99922
2022-01-01 110333

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