Purpose: This study is crucial because countries like Pakistan are facing major problem of insufficient financial capital since they appear on world map and they have to take help from other countries and financial organizations. Since Pakistan badly trapped in this bubble and could not break it since 1958 remittances can play its role in eruption of this trap. After covid-19 outbreak and natural disasters like floods due to climate change, remittances became more essential financial inflow for developing nations like Pakistan. Consequently, this study intended to investigate long run association of country-wise remittances and total remittances with economic growth as compare to FDI, ODA and public debt in Pakistan. Design/Data/Methodology: To achieve the purpose of the study, time series annual data of country-wise remittances, total remittances, foreign direct investment (FDI) official development assistance (ODA), public debt and economic growth (GDP) from 1981 to 2023 has been used. Furthermore this study has been divided in to two models; model 1 is about association of country-wise remittances inflow with economic growth while model 2 is about association of total remittances as compare to FDI, official development assistance and public debt with economic growth. To check the cointegration in the models ARDL model has been used but before this prerequisite of this test ADF and PP unit root test has been applied to check the level of integration of the series in the models. Finally, Granger causality test has been applied to check the direct relationship among the variables. Findings This study found that there is an existence of long run cointegration in both the models. The ARDL analysis of model 1 indicated that remittances from Saudi Arabia has and negative impact on GDP of Pakistan in the short-run while, European Union has statistically significant and negative impact on GDP in both the short and long run. However, remittances from Australia and GCC countries other than UAE and Saudi Arabia have statistically significant and positive impact on GDP of Pakistan in both the short and long run. On the other hand remittances from all other selected countries have statistically insignificant impact on Pakistan’s GDP. Moreover the values of coefficients specified that remittances from Australia are highly associated with GDP of Pakistan while, remittances from other GCC countries and European Union are associated with GDP respectively. The results of ARDL model 2 indicate that in the long run ODA is statistically significant and positively associated with economic growth however; in the short run it is associated at its first lag. Nevertheless, FDI is statistically significant and positively associated with economic growth of Pakistan in the long run and short run while public debt associated with economic growth in the long run only. Conversely, association of total remittance with economic growth is statistically insignificant in both the short and long run. Furthermore, the values of coefficients determined that ODA are highly associated with economic growth while public debts and FDI associated with economic growth respectively. Likewise, Granger causality test also indicated that none of the selected foreign financial inflow granger causes the economic growth of Pakistan except ODA. However, GDP does granger cause remittances, official development assistance and public debt of Pakistan Policy implication: This study suggested that in case of Pakistan remittances does not affect economic growth due to its non-productive use along with inefficient policies; therefore, policy maker should focus on diverting this financial source towards productive use along with implication of strict laws and regulation to avoid corruption and informal channels. Novelty: This paper made a unique contribution to the literature regarding Pakistan, being a unique attempt to explore the host country-wise impact of the remittances inflows on economic growth of Pakistan. Furthermore, the annual time series data used in this analysis cover the most recent period (1981-2023). JEL classification: F4 and O1 Keywords: Country-wise Remittances, Foreign financial inflows and economic growth.