Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Griggs County, ND
Series ID MHICILBND38039A052NCEN
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 1:54 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 17595
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22763
1994-01-01 .
1995-01-01 22007
1996-01-01 .
1997-01-01 25018
1998-01-01 26162
1999-01-01 28239
2000-01-01 29671
2001-01-01 29536
2002-01-01 29985
2003-01-01 32556
2004-01-01 32061
2005-01-01 32421
2006-01-01 32349
2007-01-01 33060
2008-01-01 36479
2009-01-01 36907
2010-01-01 38228
2011-01-01 40814
2012-01-01 41370
2013-01-01 45456
2014-01-01 46333
2015-01-01 42418
2016-01-01 44060
2017-01-01 46154
2018-01-01 49037
2019-01-01 50154
2020-01-01 45807
2021-01-01 52230
2022-01-01 53522

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