Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fulton County, IN
Series ID MHICILBIN18049A052NCEN
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 2:33 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 22990
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27961
1994-01-01 .
1995-01-01 29898
1996-01-01 .
1997-01-01 32590
1998-01-01 33661
1999-01-01 35130
2000-01-01 36395
2001-01-01 36077
2002-01-01 36247
2003-01-01 37008
2004-01-01 38280
2005-01-01 37833
2006-01-01 36491
2007-01-01 41916
2008-01-01 41540
2009-01-01 36508
2010-01-01 37226
2011-01-01 38458
2012-01-01 40165
2013-01-01 40209
2014-01-01 41863
2015-01-01 47752
2016-01-01 42454
2017-01-01 46374
2018-01-01 48035
2019-01-01 50272
2020-01-01 47411
2021-01-01 51082
2022-01-01 55570
2023-01-01 55225

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