Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fountain County, IN
Series ID MHICIUBIN18045A052NCEN
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 1:53 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 27093
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31644
1994-01-01 .
1995-01-01 35172
1996-01-01 .
1997-01-01 37673
1998-01-01 39335
1999-01-01 39832
2000-01-01 42601
2001-01-01 41653
2002-01-01 41598
2003-01-01 41854
2004-01-01 43580
2005-01-01 45172
2006-01-01 45190
2007-01-01 46010
2008-01-01 48009
2009-01-01 47549
2010-01-01 47199
2011-01-01 47617
2012-01-01 51548
2013-01-01 45467
2014-01-01 49429
2015-01-01 54070
2016-01-01 47690
2017-01-01 53670
2018-01-01 57312
2019-01-01 61332
2020-01-01 60141
2021-01-01 61427
2022-01-01 70966

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