Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ford County, IL
Series ID MHICILBIL17053A052NCEN
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 23539
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28250
1994-01-01 .
1995-01-01 29711
1996-01-01 .
1997-01-01 33590
1998-01-01 34476
1999-01-01 35636
2000-01-01 37042
2001-01-01 37200
2002-01-01 37847
2003-01-01 38442
2004-01-01 40018
2005-01-01 38033
2006-01-01 40248
2007-01-01 42528
2008-01-01 46963
2009-01-01 41417
2010-01-01 44227
2011-01-01 44745
2012-01-01 44379
2013-01-01 48445
2014-01-01 46551
2015-01-01 48984
2016-01-01 46564
2017-01-01 49687
2018-01-01 50469
2019-01-01 50603
2020-01-01 50005
2021-01-01 50835
2022-01-01 58858
2023-01-01 62366

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