Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Putnam County, NY
Series ID MHICIUBNY36079A052NCEN
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 2:31 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 51295
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 57097
1994-01-01 .
1995-01-01 62112
1996-01-01 .
1997-01-01 65816
1998-01-01 68775
1999-01-01 72168
2000-01-01 77280
2001-01-01 76681
2002-01-01 78088
2003-01-01 77556
2004-01-01 80587
2005-01-01 85059
2006-01-01 86279
2007-01-01 88102
2008-01-01 94305
2009-01-01 89672
2010-01-01 89489
2011-01-01 94361
2012-01-01 97920
2013-01-01 96874
2014-01-01 100436
2015-01-01 95854
2016-01-01 102518
2017-01-01 105406
2018-01-01 107777
2019-01-01 110307
2020-01-01 116227
2021-01-01 116484
2022-01-01 121355
2023-01-01 128651

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