Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Perry County, IN
Series ID MHICILBIN18123A052NCEN
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 22068
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26406
1994-01-01 .
1995-01-01 28219
1996-01-01 .
1997-01-01 31276
1998-01-01 33169
1999-01-01 33701
2000-01-01 34857
2001-01-01 34369
2002-01-01 34823
2003-01-01 36293
2004-01-01 37072
2005-01-01 35997
2006-01-01 37698
2007-01-01 38713
2008-01-01 44738
2009-01-01 41626
2010-01-01 37753
2011-01-01 42309
2012-01-01 39823
2013-01-01 41487
2014-01-01 40920
2015-01-01 42675
2016-01-01 44016
2017-01-01 46116
2018-01-01 47744
2019-01-01 47947
2020-01-01 39218
2021-01-01 52404
2022-01-01 49131
2023-01-01 55926

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