Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Floyd County, IN
Series ID MHICIUBIN18043A052NCEN
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 3:12 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 30911
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35148
1994-01-01 .
1995-01-01 39700
1996-01-01 .
1997-01-01 41788
1998-01-01 43556
1999-01-01 45411
2000-01-01 48179
2001-01-01 47534
2002-01-01 47543
2003-01-01 48052
2004-01-01 50255
2005-01-01 51580
2006-01-01 53589
2007-01-01 56476
2008-01-01 54077
2009-01-01 55129
2010-01-01 52499
2011-01-01 54393
2012-01-01 56607
2013-01-01 59074
2014-01-01 55961
2015-01-01 61474
2016-01-01 62043
2017-01-01 64911
2018-01-01 70516
2019-01-01 69866
2020-01-01 73671
2021-01-01 71151
2022-01-01 79460
2023-01-01 84836

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