Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rock Island County, IL
Series ID MHICIUBIL17161A052NCEN
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 1:10 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 30627
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33390
1994-01-01 .
1995-01-01 36759
1996-01-01 .
1997-01-01 40107
1998-01-01 41288
1999-01-01 40691
2000-01-01 42620
2001-01-01 41867
2002-01-01 41437
2003-01-01 41206
2004-01-01 42698
2005-01-01 43316
2006-01-01 45872
2007-01-01 47380
2008-01-01 48250
2009-01-01 51006
2010-01-01 47058
2011-01-01 47003
2012-01-01 51708
2013-01-01 51053
2014-01-01 50351
2015-01-01 52479
2016-01-01 52689
2017-01-01 53630
2018-01-01 55279
2019-01-01 62188
2020-01-01 62069
2021-01-01 61557
2022-01-01 67614

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