Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gulf County, FL
Series ID MHICILBFL12045A052NCEN
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 19080
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22055
1994-01-01 .
1995-01-01 25286
1996-01-01 .
1997-01-01 25481
1998-01-01 26042
1999-01-01 27169
2000-01-01 27756
2001-01-01 27202
2002-01-01 27516
2003-01-01 29544
2004-01-01 30804
2005-01-01 31999
2006-01-01 33268
2007-01-01 34453
2008-01-01 35038
2009-01-01 32783
2010-01-01 36718
2011-01-01 33615
2012-01-01 31930
2013-01-01 35222
2014-01-01 34421
2015-01-01 37737
2016-01-01 34311
2017-01-01 39638
2018-01-01 40638
2019-01-01 47795
2020-01-01 43896
2021-01-01 46036
2022-01-01 50345

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