Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for White County, IL
Series ID MHICILBIL17193A052NCEN
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 20250
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22497
1994-01-01 .
1995-01-01 23112
1996-01-01 .
1997-01-01 26475
1998-01-01 27158
1999-01-01 28258
2000-01-01 29306
2001-01-01 29208
2002-01-01 29320
2003-01-01 30290
2004-01-01 31598
2005-01-01 32246
2006-01-01 31597
2007-01-01 36180
2008-01-01 36501
2009-01-01 35666
2010-01-01 36329
2011-01-01 37686
2012-01-01 39159
2013-01-01 38888
2014-01-01 42712
2015-01-01 42201
2016-01-01 40823
2017-01-01 43624
2018-01-01 44480
2019-01-01 45909
2020-01-01 40334
2021-01-01 45423
2022-01-01 48185
2023-01-01 50319

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