Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rush County, IN
Series ID MHICILBIN18139A052NCEN
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 1:54 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 21962
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27890
1994-01-01 .
1995-01-01 29678
1996-01-01 .
1997-01-01 32357
1998-01-01 33469
1999-01-01 35367
2000-01-01 36712
2001-01-01 36741
2002-01-01 36835
2003-01-01 37740
2004-01-01 40015
2005-01-01 40243
2006-01-01 40619
2007-01-01 41058
2008-01-01 41776
2009-01-01 40188
2010-01-01 41427
2011-01-01 40666
2012-01-01 41157
2013-01-01 42538
2014-01-01 42371
2015-01-01 45055
2016-01-01 46308
2017-01-01 46579
2018-01-01 48294
2019-01-01 48863
2020-01-01 62719
2021-01-01 53515
2022-01-01 55092

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