Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Martin County, KY
Series ID MHICIUBKY21159A052NCEN
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 2:31 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 22853
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22047
1994-01-01 .
1995-01-01 25292
1996-01-01 .
1997-01-01 25669
1998-01-01 26647
1999-01-01 22291
2000-01-01 22168
2001-01-01 21723
2002-01-01 22672
2003-01-01 24031
2004-01-01 24501
2005-01-01 24481
2006-01-01 26780
2007-01-01 28391
2008-01-01 25095
2009-01-01 28500
2010-01-01 32407
2011-01-01 31780
2012-01-01 31468
2013-01-01 29413
2014-01-01 30449
2015-01-01 32042
2016-01-01 32600
2017-01-01 33087
2018-01-01 32069
2019-01-01 37839
2020-01-01 34928
2021-01-01 33096
2022-01-01 38682
2023-01-01 40237

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