Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Putnam County, FL
Series ID MHICILBFL12107A052NCEN
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 16620
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19567
1994-01-01 .
1995-01-01 21696
1996-01-01 .
1997-01-01 22351
1998-01-01 23178
1999-01-01 25217
2000-01-01 25926
2001-01-01 25355
2002-01-01 25428
2003-01-01 26950
2004-01-01 28292
2005-01-01 28354
2006-01-01 29346
2007-01-01 30640
2008-01-01 32583
2009-01-01 29085
2010-01-01 30553
2011-01-01 29251
2012-01-01 31320
2013-01-01 30401
2014-01-01 29478
2015-01-01 30259
2016-01-01 35580
2017-01-01 32486
2018-01-01 36372
2019-01-01 38968
2020-01-01 32120
2021-01-01 34651
2022-01-01 43427

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