Mexico BDM Forecast: Consumer Price Index (CPI): YoY: 1st Quartile: Plus 1 Year data was reported at 3.500 % in Mar 2019. This stayed constant from the previous number of 3.500 % for Feb 2019. Mexico BDM Forecast: Consumer Price Index (CPI): YoY: 1st Quartile: Plus 1 Year data is updated monthly, averaging 3.505 % from Jan 1999 (Median) to Mar 2019, with 242 observations. The data reached an all-time high of 12.950 % in Jan 1999 and a record low of 3.100 % in Dec 2015. Mexico BDM Forecast: Consumer Price Index (CPI): YoY: 1st Quartile: Plus 1 Year data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I003: Consumer Price Index: Second Half July 2018=100: Forecast.

Earnings data is taken from the Annual Survey of Hours and Earnings (ASHE). This is based on a 1 per cent sample of employee jobs. Information on earnings is obtained in confidence from employers. It does not cover the self-employed nor does it cover employees not paid during the reference period. Information is as at April each year. The statistics used are workplace based full-time individual earnings. HM Land Registry house price data is for the first half of the year only, so it is comparable to the ASHE data which is as at April. The 'lower quartile' property price/income is determined by ranking all property prices/incomes in ascending order. The lowest 25 per cent of prices are below the lower quartile; the highest 75 per cent are above the lower quartile. The 'median' property price/income is determined by ranking all property prices/incomes in ascending order. The point at which one half of the values are above and one half are below is the median.

This table shows the average House Price/Earnings ratio, which is an important indicator of housing affordability. Ratios are calculated by dividing house price by the median earnings of a borough.

The Annual Survey of Hours and Earnings (ASHE) is based on a 1 per cent sample of employee jobs. Information on earnings and hours is obtained in confidence from employers. It does not cover the self-employed nor does it cover employees not paid during the reference period. Information is as at April each year. The statistics used are workplace based full-time individual earnings.

Land Registry housing data are for the first half of the year only, so that they comparable to the ASHE data which are as at April.
Prior to 2006 data are not available for Inner and Outer London.

The lowest 25 per cent of prices are below the lower quartile; the highest 75 per cent are above the lower quartile.
The "lower quartile" property price/income is determined by ranking all property prices/incomes in ascending order.
The 'median' property price/income is determined by ranking all property prices/incomes in ascending order. The point at which one half of the values are above and one half are below is the median.

Regional data has not been published by DCLG since 2012. Data for regions has been calculated by the GLA. Data for 2014 has been calculated by the GLA.

Link to DCLG Live Tables

Precocity and career measures (mean, standard deviation [s.d.]) by NRC rank upper and lower halves, and descending quartiles.

These data are used to position a company’s financial ratios to a cohort of similar firms, based on a comparison by industry, turnover and year of year. Each line of this data source allows you to consult the percentiles of each sector ratio, calculated on a cohort of selected balance sheets (50 minimum) based on their sector of activity, turnover and year of year. The distribution of percentiles is carried out on a sample sorted in ascending order. The percentiles are calculated using a continuous percentile method, following a linear regression (see PostgreSQL percentile_cont method). The values q10/q25/q50/q75/q90 mean the 10th, 25th, 50th, 75th, 90th percentiles of the distribution: - Q10 represents the value below which is 10 % of the data. If this value does not exist exactly in the data, it will be determined by linear interpolation. - Q25, or the first quartile, represents the value below which is 25 % of the data. - Q50, or median, is the value that divides the data into two equal halves, i.e. 50 % of the data is less than this value. - Q75, or the third quartile, is the value below which is 75 % of the data. - Q90 is the value below which is 90 % of the data. Sectoral ratios from INPI/ECB financial indicators

Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: Next 1 to 4 Years: Third Quartile data was reported at 3.500 % in Mar 2019. This stayed constant from the previous number of 3.500 % for Feb 2019. Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: Next 1 to 4 Years: Third Quartile data is updated monthly, averaging 3.440 % from Jul 2013 (Median) to Mar 2019, with 69 observations. The data reached an all-time high of 3.890 % in Dec 2016 and a record low of 3.260 % in Jul 2015. Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: Next 1 to 4 Years: Third Quartile data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I011: Consumer Price Index: Core: Second Half July 2018=100: Forecast.

🇬🇧 United Kingdom English This table shows the average House Price/Earnings ratio, which is an important indicator of housing affordability. Ratios are calculated by dividing house price by the median earnings of a borough. The Annual Survey of Hours and Earnings (ASHE) is based on a 1 per cent sample of employee jobs. Information on earnings and hours is obtained in confidence from employers. It does not cover the self-employed nor does it cover employees not paid during the reference period. Information is as at April each year. The statistics used are workplace based full-time individual earnings. Pre-2013 Land Registry housing data are for the first half of the year only, so that they are comparable to the ASHE data which are as at April. This is no longer the case from 2013 onwards as this data uses house price data from the ONS House Price Statistics for Small Areas statistical release. Prior to 2006 data are not available for Inner and Outer London. The lowest 25 per cent of prices are below the lower quartile; the highest 75 per cent are above the lower quartile. The "lower quartile" property price/income is determined by ranking all property prices/incomes in ascending order. The 'median' property price/income is determined by ranking all property prices/incomes in ascending order. The point at which one half of the values are above and one half are below is the median. Regional data has not been published by DCLG since 2012. Data for regions has been calculated by the GLA. Data since 2014 has been calculated by the GLA using Land Registry house prices and ONS Earnings data. Link to DCLG Live Tables An interactive map showing the affordability ratios by local authority for 2013, 2014 and 2015 is also available.

Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: First Quartile: Plus 1 Year data was reported at 3.300 % in Mar 2019. This records a decrease from the previous number of 3.350 % for Feb 2019. Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: First Quartile: Plus 1 Year data is updated monthly, averaging 3.300 % from Nov 2002 (Median) to Mar 2019, with 176 observations. The data reached an all-time high of 4.400 % in Dec 2009 and a record low of 2.870 % in Jun 2015. Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: First Quartile: Plus 1 Year data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I011: Consumer Price Index: Core: Second Half July 2018=100: Forecast.

Mexico BDM Forecast: Consumer Price Index (CPI): MoM: First Quartile data was reported at 0.250 % in Mar 2020. This records an increase from the previous number of 0.190 % for Feb 2020. Mexico BDM Forecast: Consumer Price Index (CPI): MoM: First Quartile data is updated monthly, averaging 0.390 % from Jan 1999 (Median) to Mar 2020, with 255 observations. The data reached an all-time high of 2.560 % in Jan 1999 and a record low of -0.670 % in May 2011. Mexico BDM Forecast: Consumer Price Index (CPI): MoM: First Quartile data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I003: Consumer Price Index: Second Half July 2018=100: Forecast.

The results of the SSNAP Acute Organisational Audit 2012 were the first to be published under the auspices of the new national stroke audit, the Sentinel Stroke National Audit Programme (SSNAP). They contain national and hospital level findings on the organisation of stroke services, in particular acute care organisation, specialist roles, staffing, TIA (mini stroke) services, communication between staff groups and with patients and carers, and pathway at discharge. The results reflect the organisation of stroke services as of 2 July 2012. 100% of eligible hospitals in England, Wales and Northern Ireland participated in the audit. The public tables of named hospital results, available to download below, describe the performance for selected indicators for 163 participating sites in England. The median for each measure is given in the top row of the table to enable benchmarking. NB the national median reflects the results of 190 participating sites in England, Wales and Northern Ireland. A scoring system was developed to enable sites to compare their organisation of stroke care with other sites. The scores for 8 separate components of organisation each range from 0 to 100 with 100 being the optimal score. A total organisational score is obtained by calculating the average of the 8 domain scores. The 25% of hospitals with the best stroke care organisation are in the upper quartile, the least well organised 25% of hospitals are in the lower quartile. The middle half lie between the two. NB the quartile position is based on the performance of 190 participating sites in England, Wales and Northern Ireland. The table of named hospital results should be read in context as part of the full SSNAP Acute Organisational Audit Report 2012 which can be downloaded below and the full audit questions (appendix 2 of the full report). This full report enables the organisation of stroke services at national level to be compared with national standards outlined in the fourth edition of the National Clinical Guideline for Stroke (2012) published by the Intercollegiate Stroke Working Party and the NICE Clinical Guideline, the National Stroke Strategy 2007 and the NICE Quality Standard for Stroke (2010).

Mexico BDM Forecast: Consumer Price Index (CPI): MoM: Third Quartile data was reported at 0.360 % in Mar 2020. This records an increase from the previous number of 0.340 % for Feb 2020. Mexico BDM Forecast: Consumer Price Index (CPI): MoM: Third Quartile data is updated monthly, averaging 0.480 % from Jan 1999 (Median) to Mar 2020, with 255 observations. The data reached an all-time high of 2.640 % in Jan 1999 and a record low of -0.540 % in May 2011. Mexico BDM Forecast: Consumer Price Index (CPI): MoM: Third Quartile data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I003: Consumer Price Index: Second Half July 2018=100: Forecast.

Mexico BDM Forecast: Consumer Price Index (CPI): YoY: 3rd Quartile: Plus 2 Years data was reported at 3.690 % in Mar 2019. This records an increase from the previous number of 3.680 % for Feb 2019. Mexico BDM Forecast: Consumer Price Index (CPI): YoY: 3rd Quartile: Plus 2 Years data is updated monthly, averaging 3.700 % from Nov 2000 (Median) to Mar 2019, with 199 observations. The data reached an all-time high of 6.920 % in Nov 2000 and a record low of 3.490 % in Dec 2015. Mexico BDM Forecast: Consumer Price Index (CPI): YoY: 3rd Quartile: Plus 2 Years data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I003: Consumer Price Index: Second Half July 2018=100: Forecast.

Mexico BDM Forecast: Consumer Price Index (CPI): YoY: 3rd Quartile: Current Year data was reported at 3.850 % in Mar 2019. This stayed constant from the previous number of 3.850 % for Feb 2019. Mexico BDM Forecast: Consumer Price Index (CPI): YoY: 3rd Quartile: Current Year data is updated monthly, averaging 4.100 % from Jan 1999 (Median) to Mar 2019, with 233 observations. The data reached an all-time high of 17.000 % in Jan 1999 and a record low of 2.350 % in Dec 2015. Mexico BDM Forecast: Consumer Price Index (CPI): YoY: 3rd Quartile: Current Year data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I003: Consumer Price Index: Second Half July 2018=100: Forecast.

Observed, meritocratic, and random allocation to program level (BA, MA, NRC-bottom-half PhD, NRC-top-half PhD) by quartiles (“qtl”) of h and hIann. 1.

Scietometric indices for each gender (median [inter-quartile range]).

Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: Third Quartile: Current Year data was reported at 3.600 % in Mar 2019. This records an increase from the previous number of 3.560 % for Feb 2019. Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: Third Quartile: Current Year data is updated monthly, averaging 3.690 % from Mar 2001 (Median) to Mar 2019, with 210 observations. The data reached an all-time high of 7.100 % in Mar 2001 and a record low of 2.500 % in Dec 2015. Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: Third Quartile: Current Year data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I011: Consumer Price Index: Core: Second Half July 2018=100: Forecast.

BackgroundHypertension is the most common primary diagnosis associated with postpartum readmissions within 42 days of delivery hospitalization. In the United States, nearly half of the cases of eclampsia, a severe form of preeclampsia, develop during the postpartum period, and the postpartum onset of hypertensive disorders of pregnancy, like antepartum hypertension poses long-term health risks to pregnant individuals, including an increased likelihood of developing overall cardiovascular disease, coronary heart disease, heart failure, and chronic hypertension. In this paper, we estimate the trends in the incidence of readmissions for postpartum hypertension within 42 days of delivery discharge in the US, disaggregated by median household income.Methods and findingsUsing National Readmissions Database, we calculated the readmission rates for postpartum hypertension, both overall and stratified by ZIP Code median household income for each year between 2010 and 2019. We also calculated the percentage change and average annual growth rate (AAGR) in the rate of readmissions for postpartum hypertension between 2010 and 2019 for each income group. We then used a logistic regression model to compare the temporal changes in readmission for postpartum hypertension between the lowest and the highest income quartiles. The estimated incidence of postpartum hypertension readmissions doubled for all the income groups between 2010 and 2019 (0.36% vs. 0.8%). While the incidence of postpartum hypertension cases was higher among the lowest-income quartile, the increase in postpartum hypertension readmissions between 2010 and 2019 was greater in the highest-income quartile. Moreover, the incidence of postpartum hypertension readmissions rose faster in pregnant patients without a history of hypertension compared to those with a history of hypertension (AAGR 8.3% vs. 5.1%).ConclusionThe increasing postpartum hypertension readmission burden suggests rising future health risks among mothers and a growing cost burden to the U.S. healthcare system. The higher rate of increase in postpartum hypertension readmissions among people without a history of hypertension calls for blood pressure checking in the postpartum period for all patients regardless of risk status.

BDM Forecast: Consumer Price Index: YoY: Next 12 Mos: Third Quartile data was reported at 4.340 % in Mar 2019. This records a decrease from the previous number of 4.430 % for Feb 2019. BDM Forecast: Consumer Price Index: YoY: Next 12 Mos: Third Quartile data is updated monthly, averaging 4.120 % from Jan 1999 (Median) to Mar 2019, with 243 observations. The data reached an all-time high of 16.770 % in Jan 1999 and a record low of 3.420 % in Feb 2016. BDM Forecast: Consumer Price Index: YoY: Next 12 Mos: Third Quartile data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I003: Consumer Price Index: Second Half July 2018=100: Forecast.

Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: First Quartile: Plus 2 Years data was reported at 3.300 % in Mar 2019. This stayed constant from the previous number of 3.300 % for Feb 2019. Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: First Quartile: Plus 2 Years data is updated monthly, averaging 3.100 % from Dec 2006 (Median) to Mar 2019, with 81 observations. The data reached an all-time high of 3.800 % in Dec 2009 and a record low of 2.850 % in Nov 2013. Mexico BDM Forecast: Consumer Price Index (CPI): Core: YoY: First Quartile: Plus 2 Years data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.I011: Consumer Price Index: Core: Second Half July 2018=100: Forecast.

Birth quartile distribution, chi-square value, and odds ratio analysis considering the different sports performance ranking from 2014 to 2019.