Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake County, FL
Series ID MHICILBFL12069A052NCEN
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 18574
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22684
1994-01-01 .
1995-01-01 25407
1996-01-01 .
1997-01-01 27803
1998-01-01 29899
1999-01-01 32962
2000-01-01 34766
2001-01-01 34237
2002-01-01 34970
2003-01-01 36697
2004-01-01 38276
2005-01-01 38385
2006-01-01 40694
2007-01-01 44532
2008-01-01 43512
2009-01-01 40754
2010-01-01 40556
2011-01-01 42722
2012-01-01 39822
2013-01-01 41908
2014-01-01 44754
2015-01-01 47363
2016-01-01 47640
2017-01-01 48828
2018-01-01 49778
2019-01-01 54674
2020-01-01 53972
2021-01-01 62439
2022-01-01 64274

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