Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Flagler County, FL
Series ID MHICIUBFL12035A052NCEN
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 2:32 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 25864
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30463
1994-01-01 .
1995-01-01 38207
1996-01-01 .
1997-01-01 37772
1998-01-01 39136
1999-01-01 41011
2000-01-01 43637
2001-01-01 41945
2002-01-01 43247
2003-01-01 45577
2004-01-01 48572
2005-01-01 47992
2006-01-01 49577
2007-01-01 48925
2008-01-01 52233
2009-01-01 53035
2010-01-01 48637
2011-01-01 50812
2012-01-01 46953
2013-01-01 51280
2014-01-01 53144
2015-01-01 53843
2016-01-01 54016
2017-01-01 56906
2018-01-01 62491
2019-01-01 68945
2020-01-01 74006
2021-01-01 71257
2022-01-01 79163
2023-01-01 81020

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