Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lake County, OH
Series ID MHICIUBOH39085A052NCEN
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 1:09 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 36357
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41072
1994-01-01 .
1995-01-01 43114
1996-01-01 .
1997-01-01 46004
1998-01-01 48757
1999-01-01 49649
2000-01-01 52620
2001-01-01 51611
2002-01-01 51303
2003-01-01 51532
2004-01-01 53418
2005-01-01 50836
2006-01-01 53363
2007-01-01 57159
2008-01-01 60795
2009-01-01 55761
2010-01-01 55272
2011-01-01 55306
2012-01-01 57487
2013-01-01 58538
2014-01-01 61326
2015-01-01 62549
2016-01-01 63875
2017-01-01 63783
2018-01-01 68035
2019-01-01 68783
2020-01-01 73093
2021-01-01 76522
2022-01-01 81410

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