Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Collier County, FL
Series ID MHICILBFL12021A052NCEN
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 28698
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31562
1994-01-01 .
1995-01-01 35429
1996-01-01 .
1997-01-01 38013
1998-01-01 39797
1999-01-01 42254
2000-01-01 44540
2001-01-01 44178
2002-01-01 44529
2003-01-01 45402
2004-01-01 45951
2005-01-01 49656
2006-01-01 54230
2007-01-01 55248
2008-01-01 59045
2009-01-01 51533
2010-01-01 50891
2011-01-01 49408
2012-01-01 52104
2013-01-01 52015
2014-01-01 55663
2015-01-01 59953
2016-01-01 59078
2017-01-01 63661
2018-01-01 66898
2019-01-01 72872
2020-01-01 76274
2021-01-01 71570
2022-01-01 78468
2023-01-01 86283

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