Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hamilton County, IN
Series ID MHICIUBIN18057A052NCEN
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 1:52 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 48938
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 56301
1994-01-01 .
1995-01-01 68355
1996-01-01 .
1997-01-01 71283
1998-01-01 75828
1999-01-01 78600
2000-01-01 82268
2001-01-01 83418
2002-01-01 86485
2003-01-01 86063
2004-01-01 87540
2005-01-01 83889
2006-01-01 79686
2007-01-01 86301
2008-01-01 88671
2009-01-01 79893
2010-01-01 85263
2011-01-01 90341
2012-01-01 93809
2013-01-01 87757
2014-01-01 94059
2015-01-01 95243
2016-01-01 97107
2017-01-01 98741
2018-01-01 105954
2019-01-01 114125
2020-01-01 104040
2021-01-01 116390
2022-01-01 123035

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