Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Spencer County, KY
Series ID MHICILBKY21215A052NCEN
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 1:12 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 23372
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27028
1994-01-01 .
1995-01-01 28644
1996-01-01 .
1997-01-01 30764
1998-01-01 35430
1999-01-01 41678
2000-01-01 43700
2001-01-01 44275
2002-01-01 46178
2003-01-01 48637
2004-01-01 50363
2005-01-01 49433
2006-01-01 51885
2007-01-01 53946
2008-01-01 59016
2009-01-01 58336
2010-01-01 56928
2011-01-01 57868
2012-01-01 58925
2013-01-01 62566
2014-01-01 60600
2015-01-01 62275
2016-01-01 64075
2017-01-01 75143
2018-01-01 80995
2019-01-01 70581
2020-01-01 73052
2021-01-01 82398
2022-01-01 92771

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