Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bureau County, IL
Series ID MHICILBIL17011A052NCEN
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 1:12 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 23339
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28817
1994-01-01 .
1995-01-01 30360
1996-01-01 .
1997-01-01 33478
1998-01-01 34522
1999-01-01 36594
2000-01-01 38154
2001-01-01 38174
2002-01-01 38540
2003-01-01 39395
2004-01-01 40883
2005-01-01 40813
2006-01-01 39491
2007-01-01 43229
2008-01-01 43712
2009-01-01 44214
2010-01-01 42248
2011-01-01 45471
2012-01-01 44624
2013-01-01 45018
2014-01-01 48893
2015-01-01 47923
2016-01-01 49649
2017-01-01 51859
2018-01-01 51413
2019-01-01 52804
2020-01-01 52035
2021-01-01 58200
2022-01-01 57232

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