Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rock Island County, IL
Series ID MHICILBIL17161A052NCEN
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 3:13 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 26277
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29082
1994-01-01 .
1995-01-01 31011
1996-01-01 .
1997-01-01 34304
1998-01-01 35531
1999-01-01 35867
2000-01-01 36841
2001-01-01 36621
2002-01-01 36230
2003-01-01 36410
2004-01-01 37761
2005-01-01 39703
2006-01-01 41182
2007-01-01 43038
2008-01-01 42961
2009-01-01 46330
2010-01-01 43170
2011-01-01 41971
2012-01-01 48042
2013-01-01 45267
2014-01-01 45697
2015-01-01 48359
2016-01-01 49215
2017-01-01 49980
2018-01-01 50005
2019-01-01 53356
2020-01-01 53975
2021-01-01 54785
2022-01-01 57690
2023-01-01 59843

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