Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Franklin County, KY
Series ID MHICIUBKY21073A052NCEN
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 1:10 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 29324
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33952
1994-01-01 .
1995-01-01 37742
1996-01-01 .
1997-01-01 40368
1998-01-01 42019
1999-01-01 42211
2000-01-01 44746
2001-01-01 43594
2002-01-01 44279
2003-01-01 45001
2004-01-01 45064
2005-01-01 47635
2006-01-01 47963
2007-01-01 52147
2008-01-01 51601
2009-01-01 48537
2010-01-01 50044
2011-01-01 47207
2012-01-01 50613
2013-01-01 50253
2014-01-01 53424
2015-01-01 54105
2016-01-01 57075
2017-01-01 57777
2018-01-01 57121
2019-01-01 64418
2020-01-01 67174
2021-01-01 66341
2022-01-01 63680

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