Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Flagler County, FL
Series ID MHICILBFL12035A052NCEN
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 21360
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25893
1994-01-01 .
1995-01-01 31558
1996-01-01 .
1997-01-01 31561
1998-01-01 32991
1999-01-01 35280
2000-01-01 37469
2001-01-01 36508
2002-01-01 37572
2003-01-01 39970
2004-01-01 42387
2005-01-01 42718
2006-01-01 43792
2007-01-01 42353
2008-01-01 45796
2009-01-01 47463
2010-01-01 42733
2011-01-01 43378
2012-01-01 41967
2013-01-01 44464
2014-01-01 49968
2015-01-01 46851
2016-01-01 47710
2017-01-01 48520
2018-01-01 55459
2019-01-01 56717
2020-01-01 60102
2021-01-01 60309
2022-01-01 67509

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