Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hamilton County, NY
Series ID MHICILBNY36041A052NCEN
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 3:13 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 20811
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24303
1994-01-01 .
1995-01-01 25460
1996-01-01 .
1997-01-01 27917
1998-01-01 29099
1999-01-01 30183
2000-01-01 31294
2001-01-01 31253
2002-01-01 31997
2003-01-01 32873
2004-01-01 34237
2005-01-01 33376
2006-01-01 36208
2007-01-01 38171
2008-01-01 38704
2009-01-01 39474
2010-01-01 41625
2011-01-01 38847
2012-01-01 41272
2013-01-01 42319
2014-01-01 44845
2015-01-01 43472
2016-01-01 48334
2017-01-01 46229
2018-01-01 54590
2019-01-01 55176
2020-01-01 48021
2021-01-01 50467
2022-01-01 54659
2023-01-01 62239

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