Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Martin County, FL
Series ID MHICILBFL12085A052NCEN
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 28024
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30174
1994-01-01 .
1995-01-01 33519
1996-01-01 .
1997-01-01 37153
1998-01-01 39008
1999-01-01 39115
2000-01-01 40569
2001-01-01 40549
2002-01-01 40877
2003-01-01 40566
2004-01-01 42634
2005-01-01 43611
2006-01-01 48356
2007-01-01 52134
2008-01-01 50464
2009-01-01 47739
2010-01-01 46567
2011-01-01 46993
2012-01-01 44018
2013-01-01 47016
2014-01-01 52649
2015-01-01 50200
2016-01-01 52776
2017-01-01 53614
2018-01-01 57837
2019-01-01 65021
2020-01-01 65656
2021-01-01 62185
2022-01-01 75372
2023-01-01 71696

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