Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Warren County, NY
Series ID MHICIUBNY36113A052NCEN
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 1:51 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 30533
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35656
1994-01-01 .
1995-01-01 38208
1996-01-01 .
1997-01-01 40176
1998-01-01 40886
1999-01-01 40169
2000-01-01 43073
2001-01-01 41879
2002-01-01 42454
2003-01-01 43278
2004-01-01 44880
2005-01-01 49319
2006-01-01 48306
2007-01-01 50365
2008-01-01 52433
2009-01-01 53454
2010-01-01 53242
2011-01-01 54158
2012-01-01 55183
2013-01-01 55932
2014-01-01 57951
2015-01-01 58602
2016-01-01 60049
2017-01-01 62444
2018-01-01 59554
2019-01-01 67861
2020-01-01 73292
2021-01-01 74798
2022-01-01 75444

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