Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for San Juan County, CO

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for San Juan County, CO
Series ID MHICIUBCO08111A052NCEN
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 2:32 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 32058
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27261
1994-01-01 .
1995-01-01 28710
1996-01-01 .
1997-01-01 31229
1998-01-01 29883
1999-01-01 31627
2000-01-01 33221
2001-01-01 33189
2002-01-01 33117
2003-01-01 34945
2004-01-01 34335
2005-01-01 36625
2006-01-01 38182
2007-01-01 42165
2008-01-01 44265
2009-01-01 42303
2010-01-01 40441
2011-01-01 40345
2012-01-01 39253
2013-01-01 45355
2014-01-01 44087
2015-01-01 46494
2016-01-01 49505
2017-01-01 52171
2018-01-01 52009
2019-01-01 55856
2020-01-01 62983
2021-01-01 60895
2022-01-01 70287
2023-01-01 107411

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