Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake County, IN
Series ID MHICILBIN18089A052NCEN
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 25955
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31102
1994-01-01 .
1995-01-01 32477
1996-01-01 .
1997-01-01 35355
1998-01-01 37188
1999-01-01 37535
2000-01-01 38807
2001-01-01 38064
2002-01-01 37711
2003-01-01 37574
2004-01-01 38571
2005-01-01 40949
2006-01-01 44878
2007-01-01 46402
2008-01-01 48118
2009-01-01 45439
2010-01-01 43532
2011-01-01 46226
2012-01-01 46307
2013-01-01 46222
2014-01-01 49451
2015-01-01 49280
2016-01-01 51893
2017-01-01 53180
2018-01-01 53202
2019-01-01 54984
2020-01-01 55007
2021-01-01 59645
2022-01-01 62420
2023-01-01 66441

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