Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Putnam County, IL
Series ID MHICIUBIL17155A052NCEN
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 34018
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37521
1994-01-01 .
1995-01-01 40738
1996-01-01 .
1997-01-01 45500
1998-01-01 46622
1999-01-01 47348
2000-01-01 50336
2001-01-01 48967
2002-01-01 49056
2003-01-01 49906
2004-01-01 53080
2005-01-01 54547
2006-01-01 58478
2007-01-01 59705
2008-01-01 62722
2009-01-01 61852
2010-01-01 56464
2011-01-01 56036
2012-01-01 63548
2013-01-01 64238
2014-01-01 67938
2015-01-01 66695
2016-01-01 72545
2017-01-01 70069
2018-01-01 72343
2019-01-01 81615
2020-01-01 79696
2021-01-01 83052
2022-01-01 90892

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