Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lawrence County, IL
Series ID MHICILBIL17101A052NCEN
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 19243
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22142
1994-01-01 .
1995-01-01 24548
1996-01-01 .
1997-01-01 25403
1998-01-01 27092
1999-01-01 28593
2000-01-01 29707
2001-01-01 29156
2002-01-01 29549
2003-01-01 29869
2004-01-01 31714
2005-01-01 32363
2006-01-01 33173
2007-01-01 34407
2008-01-01 35105
2009-01-01 33005
2010-01-01 33946
2011-01-01 35212
2012-01-01 35904
2013-01-01 36143
2014-01-01 37800
2015-01-01 38942
2016-01-01 40320
2017-01-01 41569
2018-01-01 39169
2019-01-01 41581
2020-01-01 40853
2021-01-01 41718
2022-01-01 52077

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