Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Robertson County, KY
Series ID MHICIUBKY21201A052NCEN
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 2:05 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 20360
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24122
1994-01-01 .
1995-01-01 28389
1996-01-01 .
1997-01-01 29311
1998-01-01 30848
1999-01-01 31349
2000-01-01 33002
2001-01-01 31973
2002-01-01 31235
2003-01-01 32024
2004-01-01 33248
2005-01-01 32191
2006-01-01 37236
2007-01-01 38142
2008-01-01 39292
2009-01-01 38680
2010-01-01 35913
2011-01-01 39193
2012-01-01 40223
2013-01-01 41795
2014-01-01 41295
2015-01-01 44206
2016-01-01 46456
2017-01-01 47999
2018-01-01 49990
2019-01-01 52299
2020-01-01 57176
2021-01-01 57232
2022-01-01 60250
2023-01-01 62532

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