Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gulf County, FL
Series ID MHICIUBFL12045A052NCEN
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 1:53 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 23735
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26605
1994-01-01 .
1995-01-01 31612
1996-01-01 .
1997-01-01 31713
1998-01-01 32235
1999-01-01 31079
2000-01-01 32456
2001-01-01 31445
2002-01-01 31879
2003-01-01 33678
2004-01-01 35123
2005-01-01 37647
2006-01-01 39288
2007-01-01 41867
2008-01-01 42226
2009-01-01 38529
2010-01-01 42088
2011-01-01 41131
2012-01-01 37950
2013-01-01 42538
2014-01-01 42417
2015-01-01 44903
2016-01-01 42451
2017-01-01 48632
2018-01-01 50214
2019-01-01 58661
2020-01-01 59290
2021-01-01 57332
2022-01-01 61473

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